Alternatives to DryRun Security

JetBrains Junie is an innovative AI coding assistant that works inside many JetBrains IDEs to streamline programming efforts and boost efficiency. This agent leverages advanced AI to help developers write, test, and inspect code without leaving their familiar development environment. Junie offers both code execution and interactive collaboration, allowing programmers to switch between automated code writing and brainstorming sessions for features and improvements. By deeply understanding the codebase, Junie identifies the best ways to tackle tasks and ensures all changes meet quality standards through syntax and semantic checks. It also runs tests to minimize errors and keep the project healthy, freeing developers from routine tasks. Many developers have successfully built complex applications and games using Junie, highlighting its flexibility across different languages and frameworks. The AI adapts to each task’s complexity and workflow, making coding less tedious and more focused on creativity. Whether you are building a simple web app or a complex game, Junie offers smart support throughout the development cycle.

ZeroPath (YC S24) is an AI-native application security platform that delivers comprehensive code protection beyond traditional SAST. Founded by security engineers from Tesla and Google, ZeroPath combines large language models with deep program analysis to deliver intelligent security testing that finds real vulnerabilities while dramatically reducing false positives. Unlike traditional SAST tools that rely on pattern matching, ZeroPath understands code context, business logic, and developer intent. This enables identification of sophisticated security issues including business logic flaws, broken authentication, authorization bypasses, and complex dependency vulnerabilities. Our comprehensive security suite covers the application security lifecycle: 1. AI-powered SAST 2. Software Composition Analysis with reachability analysis 3. Secrets detection and validation 4. Infrastructure as Code scanning 5. Automated PR reviews 6. Automated patch generation and more... ZeroPath integrates seamlessly with GitHub, GitLab, Bitbucket, Azure DevOps and many more. The platform handles codebases with millions of lines across Python, JavaScript, TypeScript, Java, Go, Ruby, Rust, PHP, Kotlin and more. Our research team has been successful in finding vulnerabilities like critical account takeover in better-auth (CVE-2025-61928, 300k+ weekly downloads), identifying 170+ verified bugs in curl, and discovering 0-days in production systems at Netflix, Hulu, and Salesforce. Trusted by 750+ companies and performing 200k+ code scans monthly.

Windsurf is a cutting-edge IDE designed for developers to maintain focus and productivity through AI-driven assistance. At the heart of the platform is Cascade, an intelligent agent that not only fixes bugs and errors but also anticipates potential issues before they arise. With built-in features for real-time code previews, automatic linting, and seamless integrations with popular tools like GitHub and Slack, Windsurf streamlines the development process. Developers can also benefit from memory tracking, which helps Cascade recall past work, and smart suggestions that enhance code optimization. Windsurf’s unique capabilities ensure that developers can work faster and smarter, reducing onboarding time and accelerating project delivery.

Enhance the speed and efficiency of software development and delivery by leveraging generative AI support, all while ensuring robust enterprise security and privacy safeguards. Gemini Code Assist streamlines your coding process by completing your code as you type and can generate entire code blocks or functions upon request. This powerful code assistance tool is compatible with a variety of popular integrated development environments (IDEs) like Visual Studio Code and JetBrains IDEs (including IntelliJ, PyCharm, GoLand, and WebStorm), as well as Cloud Workstations and Cloud Shell Editor, supporting over 20 programming languages such as Java, JavaScript, Python, C, C++, Go, PHP, and SQL. Utilizing a natural language chat interface, you can easily interact with Gemini Code Assist to obtain solutions to your coding queries or gain insights into coding best practices, with chat functionality accessible across all supported IDEs. Organizations have the flexibility to tailor Gemini Code Assist by integrating their private codebases and knowledge repositories, enabling the tool to provide more personalized assistance that aligns with specific enterprise needs. Furthermore, Gemini Code Assist has the capability to facilitate extensive modifications across entire codebases, thereby optimizing the development workflow significantly. This adaptability not only boosts productivity but also empowers teams to innovate more rapidly in a secure environment.

Amp is a next-generation coding agent engineered for developers working at the frontier of software development. It brings powerful AI agents directly into the terminal and code editors, allowing engineers to build, refactor, review, and explore large codebases with minimal friction. Unlike simple code assistants, Amp operates agentically, running subagents, managing context, and making coordinated changes across dozens of files. It supports multiple state-of-the-art models and continuously evolves with frequent updates, new agents, and performance improvements. Features like agentic code review, clickable diagrams, fast search subagents, and context-aware analysis make Amp feel like a true engineering partner rather than a chat tool. By reducing manual overhead and increasing leverage, Amp enables teams to focus on higher-level design and problem solving. The result is faster iteration, cleaner architectures, and more ambitious builds.

GitHub Copilot is an AI-driven coding assistant that helps developers code, collaborate, and ship software more efficiently. It integrates natively with IDEs, GitHub repositories, command-line tools, and project workflows. Copilot supports a wide range of programming languages and platforms, making it adaptable to diverse development environments. Developers can choose from multiple AI models to balance performance, accuracy, and cost. The editor experience includes intelligent code completion, explanations, refactoring suggestions, and agent mode for deeper automation. Copilot can be assigned issues to autonomously generate code and pull requests in the background. Terminal integration allows developers to execute complex workflows using natural language commands. For teams, Copilot can be customized with shared organizational knowledge and documentation. Enterprise controls provide governance, audit logs, and secure integrations. Overall, GitHub Copilot acts as a productivity multiplier across the entire software development lifecycle.

Cody is an advanced AI coding assistant developed by Sourcegraph to enhance the efficiency and quality of software development. It integrates seamlessly with popular Integrated Development Environments (IDEs) such as VS Code, Visual Studio, Eclipse, and various JetBrains IDEs, providing features like AI-driven chat, code autocompletion, and inline editing without altering existing workflows. Designed to support enterprises, Cody emphasizes consistency and quality across entire codebases by utilizing comprehensive context and shared prompts. It also extends its contextual understanding beyond code by integrating with tools like Notion, Linear, and Prometheus, thereby gathering a holistic view of the development environment. By leveraging the latest Large Language Models (LLMs), including Claude Sonnet 4 and GPT-4o, Cody offers tailored assistance that can be optimized for specific use cases, balancing speed and performance. Developers have reported significant productivity gains, with some noting time savings of approximately 5-6 hours per week and a doubling of coding speed when using Cody.

Allocate tasks and leverage advanced AI agents alongside our worldwide network of developers to produce top-notch code. Expand your project capabilities without the need to boost your engineering team. When you find yourself with more tasks than you can handle, delegate them to GitStart. We are passionate about the transformative power of coding and are dedicated to nurturing the future talent in software development. Define the sections of your repository that GitStart can access with our safe git-sharing solution, allowing you to maintain control over your assets. With our system, you can selectively share information while safeguarding your configuration file. Break down your tasks into manageable sprint-sized tickets, and our AI assistant will aid in converting requirements into comprehensive tickets. To minimize lengthy review processes, GitStart submits pull requests that have undergone rigorous internal code assessments and quality assurance checks. You will evaluate the output in your repository, suggest any necessary modifications, and execute the merge. Additionally, you have the authority to accept or decline each pull request's cost estimate after we have clarified the project's scope and prior to the commencement of any tasks. By integrating GitStart into your workflow, you can streamline your development process while fostering innovation and efficiency.

Qodo, formerly Codium, analyzes your code to find bugs before you release. Qodo maps the behaviors of your code, identifies edge cases and tags anything suspicious. It then generates meaningful and clear unit tests that match the behavior of your code. You can see how your code behaves and how changes to your code affect the rest of the code. Code coverage is broken. Meaningful tests check functionality and give you the confidence to commit. Spend less time writing questionable tests and more time developing features that are useful to your users. Qodo analyzes your code, docstring and comments to suggest tests as you type. You only need to add them to your suite. Qodo focuses on code integrity. It generates tests that help you understand your code, find edge cases and suspicious behavior; and make your code more robust.

Fynix serves as an AI-driven platform aimed at enhancing software development efficiency by providing smart coding assistance and agent-based code reviews. This tool seamlessly integrates with widely used IDEs such as VS Code, offering features like context-aware autocomplete, natural language inputs for code corrections and translations, along with automatic visualizations of code flow. The Code Assistant feature of Fynix enables developers to produce cleaner and more efficient code at an accelerated pace, and the forthcoming Code Quality Agent promises to streamline bug detection while upholding coding standards. Supporting a variety of programming languages and frameworks, and compatible with tools like Jira, Fynix proves to be a flexible solution for fostering improved coding practices and team collaboration. As developers strive for excellence in their coding endeavors, Fynix stands out as an essential ally in the software development landscape.

Macroscope serves as an AI-driven analytics and visibility platform tailored for engineering and product teams, linking seamlessly with a company's codebase, commit history, issue tracking systems like Linear or Jira, and Slack to automatically produce insights regarding the development process. By employing code-walking techniques on the Abstract Syntax Tree (AST), it comprehensively evaluates changes to grasp the relationships and dependencies within the code, ultimately generating summaries for commits, pull requests (which include automated reviews and descriptions), shifts in the overall codebase, and patterns in feature development or bug resolution. Stakeholders can inquire about progress using natural language queries, such as “What did we ship last week?”, gain insights into the allocation of engineering resources, identify significant bugs with a reduced rate of false positives, and monitor productivity and status without the need to scrutinize every single difference in the code. This tool enhances the efficiency of communication among team members by centralizing information and fostering a clearer understanding of project statuses.

VibeScan is an innovative platform that leverages artificial intelligence to scan and rectify code, empowering developers and teams to deploy AI-generated code with assurance by automatically identifying and fixing issues that might evade manual scrutiny. Users can easily upload their code, regardless of whether it was crafted through traditional methods or generated by AI solutions like OpenAI, Claude, GitHub Copilot, or Cursor, and VibeScan conducts an in-depth analysis that addresses security weaknesses (such as exposed API keys and SQL injection vulnerabilities), performance issues, coding quality problems (including duplication and structural deficiencies), and overall readiness for deployment (which encompasses payment processing, analytics, rate limiting, and privacy policy evaluations). The results are displayed in a user-friendly dashboard, featuring scores and one-click auto-fixes to facilitate the correction process. Additionally, it accommodates extensive codebases, capable of scanning up to 500,000 lines, and seamlessly integrates with widely-used repositories and project management tools. This makes VibeScan an essential resource for teams aiming to enhance their development workflows and maintain high standards of code quality.

Step away from the hassle of writing essays, as Squire effortlessly generates pull request descriptions on your behalf. This tool ensures your team remains aligned through concise descriptions and comprehensive changelogs. With an efficient workflow, Squire engages your team in reviewing PRs while providing them with complete context from your codebase. It excels at identifying various issues, including significant breaking changes, security vulnerabilities, and even minor typographical errors. By enhancing code quality, Squire facilitates a smoother transition of your PRs into production. As a context-sensitive agent, Squire collaborates with you to craft descriptions, evaluate PRs, and adapt to your preferred review style. It not only understands your team's reviewing habits but also customizes its approach through explicit settings and by learning from your team's interactions. Furthermore, it helps to delineate and organize ownership and accountability throughout your entire engineering infrastructure, while ensuring compliance by implementing and upholding regulations on your engineering elements. Ultimately, Squire is your partner in achieving a more streamlined and efficient development process.

AI-powered pull requests reviewer with contextual insights, tailored comments, and automated setup in one click. Callstack.ai's PR Reviewer will save you time and reduce error risk by providing automatic summaries of PRs, security and bug checks, as well as performance optimization suggestions. {Automatic PR Summaries Understand code changes quickly with auto-generated summaries and diagram.|Automatic PR summaries Understand code changes faster with automatically generated summaries and diagrams.} {Context-Aware Feedback Callstack.ai aligns with your team's coding standards by understanding the core structure of your code for context-driven insights.|Context-Aware Callstack.ai aligns itself with your team's standards of coding by understanding the core structures of your code to provide context-driven insights.} Customizable Reviews Callstack.ai can be tailored to meet your specific coding standards. {Compatible with Major Programming Languages We currently support repositories written in the following languages: javascript, typescript, python, java, kotlin, php, go, ruby, rust, react & vue.|Compatible with Major Programming Languages Currently, we support repositories in the following languages: ruby, go, rust, javascript, typescript. javascript.}

The AWS Security Agent represents a groundbreaking AI-driven solution that actively safeguards your applications at every stage of the development lifecycle, starting from the initial design and architectural considerations, continuing through code modifications, and extending to deployment and penetration testing phases. This innovative tool empowers security teams to establish organizational security protocols—such as approved authentication libraries, encryption practices, logging methods, and data access policies—once within the AWS Console; thereafter, the agent automatically checks design documents, architectural blueprints, and code against these established standards. Notably, even before any coding begins, the AWS Security Agent is capable of conducting a thorough design review, scrutinizing architectural documents uploaded to the web application or retrieved from storage, while identifying potential security vulnerabilities or deviations from either custom or Amazon's managed standards, and offering guidance for remediation. Furthermore, this proactive approach not only enhances security but also fosters compliance and best practices across the entire development process.

Bito helps developers and teams review code faster and with more consistency using AI. Our AI Code Review Agent looks at the full codebase to give smart, reliable suggestions on pull requests. Teams use Bito to speed up reviews, reduce regressions, and improve code quality without adding overhead. Bito works with GitHub, GitLab, and Bitbucket and requires no setup beyond a one-click install. No code is stored and no model is trained.

Augment Code is an AI agent built to enhance the coding experience for software engineers working with large and complex codebases. It integrates effortlessly into IDEs like Visual Studio Code, IntelliJ IDEA, Node, and Vim, offering a suite of tools for SDK migration, code refactoring, and code documentation. By leveraging machine learning, Augment Code automatically adapts to a developer’s style and memory, improving the quality of code generation and ensuring consistency across multiple repos. The platform is compatible with over 100 native and MCP tools, enabling engineers to debug, explain, and refine code in their familiar environments without needing to switch tools. Augment Code's deep integration with popular collaboration platforms like GitHub and Slack further streamlines workflows, making it easier for teams to collaborate and maintain high-quality code. Trusted by leading software teams, Augment Code helps developers write code like senior engineers, boosting productivity and reducing the complexity of large projects.

Streamline your development process by automating the generation of pull request summaries. When you open a pull request, you'll receive a concise overview of the changes in mere seconds. This feature allows for quick comprehension of the impact of minor pull requests while also providing a significant advantage when dealing with larger ones. The process of code review often consumes a lot of time due to the necessary dialogue between the reviewer and the author, frequently over trivial changes that could be automated instead. By commenting on specific lines of code with the command /wtd and outlining your desired modifications, What The Diff will propose those adjustments directly within the pull request, enabling you to accept them effortlessly with a single click. Additionally, What The Diff evaluates the modifications in your pull requests and presents a summary in straightforward language, eliminating the need for manual summaries. With extensive training on a vast array of code data, it supports nearly all programming languages. You can easily install the GitHub app for free and test it out on any of your repositories, making it a valuable tool for enhancing team collaboration. Embrace this technology to significantly reduce the workload associated with code reviews.

Patched is a managed service that utilizes the open-source Patchwork framework to streamline various development tasks, including code reviews, bug fixes, security updates, and documentation efforts. By harnessing the capabilities of large language models, Patched empowers developers to create and implement AI-driven workflows, known as "patch flows," which automatically manage activities following code completion, ultimately improving code quality and speeding up development timelines. The platform features an intuitive graphical interface along with a visual workflow builder, which facilitates the personalization of patch flows without the burden of overseeing infrastructure or LLM endpoints. For users interested in self-hosting options, Patchwork offers a command-line interface agent that integrates effortlessly into existing development workflows. Furthermore, Patched prioritizes privacy and control, allowing organizations to deploy the service within their own infrastructure while using their specific LLM API keys. This combination of features ensures that developers can optimize their processes while maintaining a high level of security and customization.

Experience a privacy-centric approach to pull request evaluations that offers detailed code recommendations on each line and an evolving interactive chat feature. The changes within the pull request are summarized effectively, making it easier to grasp the purpose behind the modifications. Automated release notes are generated, ensuring they can be seamlessly integrated into your release documentation. Each code alteration is scrutinized with a thorough analysis, providing clear and actionable feedback that's ready for implementation. You can engage with the bot by asking questions directly within your code and supplying additional context for it to generate code snippets. As your conversations with the bot increase, its intelligence grows, leading to quicker review cycles and high-caliber suggestions for code changes. Your information remains private, allowing it to tailor the review process to your needs. This system continually adapts based on your interactions, enhancing the relevance of its recommendations to match your coding style and preferences over time.

Amazon Q Developer is an advanced AI assistant built for professional developers, combining coding intelligence with deep AWS expertise. It’s designed to handle every stage of development—from writing and refactoring code to performing upgrades and automating documentation. Integrated with major IDEs and the AWS Management Console, it empowers developers to code faster and operate smarter using secure, context-aware assistance. Its agentic automation can autonomously implement features, test applications, and perform large-scale migrations like .NET to Linux or Java 8 to Java 17 in minutes. Developers can chat directly with Amazon Q inside Slack, Microsoft Teams, GitHub, and GitLab, where it provides architectural recommendations and incident resolution guidance. The tool also supports CLI autocompletions and AWS resource management to streamline workflows from the terminal to the cloud. Offering enterprise-grade access controls and IAM integration, it ensures that organizational data and permissions remain protected. Available on the AWS Free Tier, Amazon Q Developer enables up to 50 monthly AI interactions and 1,000 lines of code transformation at no cost, helping teams start building smarter right away.

Streamline your workflow by delegating smaller tickets to an AI assistant. Tusk empowers software engineers to tackle chore tickets with remarkable efficiency, allowing them to work at the speed of thought. It automatically refines its code modifications to manage any feedback from code reviews attached to the pull request. A competent engineer understands the importance of testing before code deployment. Tusk conducts your automated tests and checks to ensure that the pull request is functional. Even if a pull request is not feasible, we still save you time by offering code context that you can use as a foundation for your work. With Tusk, you can remain undistracted by project managers concerning chore tickets and concentrate on meaningful tasks while elevating your product's quality. Investigating and resolving customer-reported bugs can take considerable time and effort. Allow Tusk to conduct the initial assessment for fixing these issues. We recognize that your time is better spent than simply adjusting a word in a header or searching and replacing terms throughout numerous files. Let Tusk manage your product quality backlog and handle the UI/UX updates that you may have been postponing for far too long. In doing so, you can reclaim your time and focus on more significant aspects of your projects.

Qoder is a sophisticated coding platform designed specifically for genuine software development, surpassing standard code completion by integrating advanced context engineering with intelligent AI agents that possess a profound understanding of your project. It enables developers to assign intricate, asynchronous tasks via its Quest Mode, wherein agents operate independently to provide complete results, while also allowing for enhanced functionality through Model Context Protocol (MCP) integrations that connect with various external tools and services. Additionally, Qoder’s Memory system captures coding style, project-specific insights, and reusable context to guarantee consistent, project-aware outputs throughout the development process. Developers can engage in chat for advice or code recommendations, maintain a Repo Wiki for consolidating knowledge, and exercise control over behavior through Rules to ensure that AI-generated work remains secure and guided. This combination of context-sensitive automation, agent delegation, and customizable AI behavior not only empowers teams to think more critically and code more effectively but also fosters an environment where innovation and collaboration can thrive. Through these features, Qoder revolutionizes the coding experience, making it more efficient and aligned with the specific needs of each project.

Diamond is a sophisticated AI tool designed for code review that delivers prompt, actionable insights on each pull request, thereby improving code quality and speeding up development timelines. It automatically detects various potential problems, including logical errors, security flaws, performance issues, and inconsistencies in documentation, which enables teams to concentrate on development rather than manual code checks. Eliminating the need for complex setups, Diamond integrates effortlessly with your repository, providing valuable, context-aware suggestions without the clutter often found in other AI solutions. Users have the flexibility to tailor review criteria by uploading their preferred style guides and filtering out irrelevant comments, ensuring a streamlined and effective review process. Additionally, Diamond offers analytical insights on review metrics, categorizing issues and proposing fixes that can be implemented with a single click, making the entire review experience more efficient. By utilizing Diamond, teams can enhance their collaborative efforts and maintain a high standard of code integrity throughout their projects.

Greptile surpasses all other tools when it comes to tackling challenging inquiries regarding intricate codebases. It functions much like that one experienced developer on your team who has an intimate understanding of the codebase. With the capability to search through various branches across multiple repositories simultaneously, it is designed for multi-repo codebases, open-source libraries, and beyond. Even within convoluted legacy systems, you can uncover code that’s deeply buried just by using clear, everyday language to describe what you’re looking for. Thanks to its sophisticated semantic abstraction layer, Greptile is compatible with a wide range of public programming languages, enhancing its versatility. This tool is ideal for developers seeking to streamline their workflow and improve code comprehension in complex environments.

Optimal AI's premier offering, Optibot, serves as an on-demand AI-driven code reviewer that can be seamlessly integrated with platforms like GitHub, GitLab, or Bitbucket in less than a minute, effectively identifying bugs, security flaws, hard-coded credentials, and other potential risks without retaining or utilizing your data for training purposes. By developing an understanding of your codebase and providing context-rich insights, Optibot is capable of halving the time required for pull-request reviews, allowing senior engineers to focus on more complex tasks and enhancing overall team productivity through real-time dashboards that highlight cycle times, review efficacy, and performance metrics. In addition to automated pull-request evaluations, Optibot features customizable agents that facilitate analysis of code complexity, predictive maintenance, advanced bug detection, estimation of story points, and management of regulatory changes, along with JIRA integrations for enhanced contextual reviews. Furthermore, the security-oriented agents actively scan for issues such as misconfigurations, race conditions, and other vulnerabilities, ensuring a comprehensive approach to code safety. The combination of these features not only streamlines development processes but also fosters a culture of continuous improvement within engineering teams.

Panto is an advanced AI-driven code review tool aimed at improving both the quality and security of code by seamlessly integrating into existing development workflows. Its unique AI operating system synchronizes code with relevant business contexts from platforms such as Jira and Confluence, facilitating efficient and context-sensitive code reviews. Supporting more than 30 programming languages, it performs upwards of 30,000 security checks to ensure a thorough examination of codebases. The "Wall of Defense" feature of Panto AI works continuously to identify vulnerabilities and recommend solutions, effectively stopping defective code from being deployed to production environments. Additionally, with its commitment to zero code retention, compliance with CERT-IN standards, and the ability to operate on-premises, Panto emphasizes both data security and regulatory adherence. Developers can take advantage of reviews that offer a high signal-to-noise ratio, thereby minimizing cognitive overload and enabling them to concentrate on essential logic and design considerations. This focus on clarity and efficiency allows teams to enhance their development processes significantly.

Bugbot is an intelligent pull request review tool designed to automate bug detection and code quality checks. It leverages AI to scan code changes and provide actionable feedback directly within PRs. Bugbot operates continuously, re-reviewing changes as pull requests evolve. The system can also be triggered on demand using simple comments. Bugbot uses prior PR comments as context to reduce noise and redundant suggestions. Teams can define custom rules to enforce security, style, and testing standards. Bugbot integrates with popular version control platforms including GitHub and GitLab. It supports individual developers as well as teams with shared repositories. Bugbot offers a free tier with monthly review limits and scalable paid plans. The tool helps teams maintain consistent, high-quality code at scale.

ZenGuard AI serves as a dedicated security platform aimed at safeguarding AI-powered customer service agents from various potential threats, thereby ensuring their safe and efficient operation. With contributions from specialists associated with top technology firms like Google, Meta, and Amazon, ZenGuard offers rapid security measures that address the risks linked to AI agents based on large language models. It effectively protects these AI systems against prompt injection attacks by identifying and neutralizing any attempts at manipulation, which is crucial for maintaining the integrity of LLM operations. The platform also focuses on detecting and managing sensitive data to avert data breaches while ensuring adherence to privacy laws. Furthermore, it enforces content regulations by preventing AI agents from engaging in discussions on restricted topics, which helps uphold brand reputation and user security. Additionally, ZenGuard features an intuitive interface for configuring policies, allowing for immediate adjustments to security measures as needed. This adaptability is essential in a constantly evolving digital landscape where threats to AI systems can emerge unexpectedly.

Infrabase serves as an AI-driven DevOps agent, continuously monitoring GitHub's infrastructure-as-code (IaC) to identify and flag potential security threats, cost discrepancies, and policy breaches before they enter production. It seamlessly integrates with GitHub through an application that indexes repositories securely without retaining raw code, leveraging advanced language models like Claude, Gemini, or OpenAI to create easy-to-understand review checklists. Developers have the flexibility to establish personalized guardrails using Markdown-based guidelines rather than navigating complex policy languages. With every pull request, Infrabase offers insights into blast radius, assigns severity scores, and can implement merge-blocking actions for any critical issues detected. Additionally, it brings attention to any deviations from established coding standards and helps reveal hidden expenses or misconfigured resources, ultimately enhancing the overall security and efficiency of the development process. By providing these comprehensive features, Infrabase empowers developers to maintain high-quality code while ensuring robust operational integrity.

Streamline your development process by utilizing natural language to seamlessly explore and search through your project's codebase. Boost the efficiency of debugging with intelligent AI that comprehends your application's structure, quickly identifying and addressing issues. Benefit from straightforward and succinct explanations regarding code features, processes, and interrelations, simplifying the onboarding process for new team members. GitLoop's AI agents empower you to customize your codebase interactions, allowing you to modify query sizes, establish accuracy thresholds, and choose different AI models. This level of personalization not only improves communication efficiency but also makes GitLoop a personalized assistant tailored to each user's specific requirements. Furthermore, the Context-Aware AI Answers feature in GitLoop refines the AI's responses by adapting them to your repository, ensuring that every answer is both relevant and specifically suited to the unique context of your project, ultimately leading to a more productive workflow. This adaptability contributes significantly to a more intuitive coding experience for developers of all skill levels.

Codacy is an automated code review tool. It helps identify problems through static code analysis. This allows engineering teams to save time and tackle technical debt. Codacy seamlessly integrates with your existing workflows on Git provider as well as with Slack and JIRA or using Webhooks. Each commit and pull-request includes notifications about security issues, code coverage, duplicate code, and code complexity. Advanced code metrics provide insight into the health of a project as well as team performance and other metrics. The Codacy CLI allows you to run Codacy code analysis locally. This allows teams to see Codacy results without needing to check their Git provider, or the Codacy app. Codacy supports more than 30 programming languages and is available in free open source and enterprise versions (cloud or self-hosted). For more see https://ancillary-proxy.atarimworker.io?url=https%3A%2F%2Fwww.codacy.com%2F

Cortex AgentiX is an advanced AI agent orchestration platform from Palo Alto Networks that transforms how security teams automate and respond to threats. Built as the next generation of Cortex XSOAR®, it enables organizations to deploy AI agents that function as always-on digital teammates. These agents leverage billions of prior playbook executions to plan, reason, and execute complex security workflows with confidence. Cortex AgentiX provides flexibility through a comprehensive catalog of prebuilt agents as well as no-code tools for creating custom agents. The platform allows security leaders to define when agents operate autonomously and when human oversight is required. Strong access controls and permissions ensure agents follow the same governance rules as human analysts. Cortex AgentiX delivers complete transparency into agent behavior, eliminating black-box decision-making. Native support for natural language automation simplifies the creation of executable workflows. With over 1,000 prebuilt integrations, the platform connects easily to existing security tools. Cortex AgentiX helps organizations scale security operations while maintaining control, accountability, and compliance.

Ellipsis is an AI-driven code review assistant designed to improve code quality on every pull request. It automatically analyzes commits to catch bugs, enforce style rules, and flag problematic patterns. Ellipsis integrates seamlessly into GitHub workflows, requiring only a few clicks to install. Beyond reviews, it can generate code, answer technical questions, and assist with feature development. Teams can interact with Ellipsis directly through GitHub comments for asynchronous collaboration. The platform adapts over time by learning which review feedback teams value most. Ellipsis can also generate pull request summaries and changelogs to streamline communication. Security is built in, with strict data handling and no persistent code storage. Pricing is simple and seat-based with unlimited usage. Ellipsis functions as a reliable AI teammate for modern development teams.

Devlo is an innovative AI-driven assistant that aims to expedite the software development lifecycle by automating essential tasks such as bug resolution, feature implementation, code improvements, and testing processes. This platform is designed to work effortlessly with GitHub repositories, allowing developers to manage tickets, assess pull requests, and create unit tests with great efficiency. With its advanced AI features, devlo can comprehend and validate code modifications, automate subsequent tasks, and deliver expert-grade code evaluations in less than a minute. By taking care of repetitive development chores, devlo enables teams to concentrate on creative solutions and accelerate product launches, while maintaining high standards of code quality and security. It is compatible with all leading programming languages and prioritizes enterprise-level security and confidentiality, making it a reliable choice for development teams. This ensures that organizations can innovate without compromise while leveraging AI technology to enhance their workflow.

Enhance code review processes using artificial intelligence to boost efficiency and reduce expenses. Get recommendations and possible fixes for any identified issues or warnings. Codara’s command-line interface integrates seamlessly with your current development setup. You can be up and running in a matter of minutes, while reviews take just seconds, allowing you to leverage AI’s capabilities to identify potential problems, provide optimization suggestions, and maintain the cleanliness and efficiency of your code. Enjoy immediate, practical feedback as you write, as Codara’s AI analyzes your work in real-time, enabling you to identify and correct mistakes before they become significant. Whether addressing style, complexity, or performance, Codara is flexible to accommodate your specific requirements. The confidentiality of your code is crucial, and Codara guarantees that your information remains safe and private at all times. Designed for projects of all scales, Codara adjusts to your needs, ensuring reliable performance no matter the size of your undertaking. Additionally, this innovative tool fosters collaboration among team members, enhancing overall project workflow and communication.

InitRepo transforms software development workflows by automatically generating detailed, AI-powered project documentation tailored for agile teams. From market research and competitive analysis to technical architecture and UX/UI design specifications, InitRepo provides end-to-end documentation that keeps developers aligned and projects on track. Each user story and epic comes with clear acceptance criteria and step-by-step tasks to ensure focused development and avoid scope creep. The platform supports exporting directly to GitHub Issues and will soon offer integrations with Notion and Jira for enhanced collaboration. InitRepo’s Model Context Protocol (MCP) tool helps keep documentation up to date as codebases evolve. By leveraging multiple AI engines for cross-verification, InitRepo guarantees precise and actionable documentation. Whether you’re a solo entrepreneur or part of an enterprise team, InitRepo accelerates your software delivery while maintaining clarity. Quick setup and intuitive interfaces allow teams to start generating documents in minutes without manual overhead.

AgileBlue is an advanced Security Operations platform built on AI technology that persistently monitors, analyzes, and autonomously addresses cyber threats throughout an organization’s complete digital environment, including endpoints, cloud services, and networks. By integrating decision-making AI with around-the-clock expert assistance, it minimizes unnecessary alerts, speeds up investigation processes, and prevents attacks from interfering with business operations. The platform features a comprehensive suite of essential modules, such as an intelligent SIEM that offers correlated and contextual visibility of threats, automated vulnerability scanning to identify risks before they can be taken advantage of, and a cloud security component that ensures visibility across multiple cloud services while proactively detecting misconfigurations. Additionally, Sapphire AI enhances real-time threat prioritization by learning and adapting from every incoming signal, effectively reducing false positives and alert fatigue. AgileBlue's lightweight Cerulean agent provides immediate endpoint visibility without impacting system performance, ensuring that organizations can operate smoothly while maintaining a strong security posture. This innovative approach empowers businesses to stay ahead of evolving cyber threats while optimizing their security resources efficiently.

Recurse is a sophisticated AI code checker that identifies bugs and potential breaking changes across your entire codebase before deployment. It seamlessly connects to GitHub or runs via the command line interface, enabling developers to catch errors during pull requests or local development. The platform prevents API and library misuse by analyzing code changes and enforcing custom rules tailored to your coding standards. Recurse offers a free forever plan for public repositories and competitively priced plans for private repositories starting at $25 per user per month or $250 annually. By detecting bugs early, it helps teams maintain code quality, reduce regressions, and improve deployment confidence. The tool is backed by a £2.5 million investment led by Seedcamp and Playfair Capital, highlighting strong market validation. Developers trust Recurse to integrate smoothly into their workflows, saving time and effort in debugging. Overall, it offers an intelligent, cost-effective way to squash bugs before they impact production.

Mondoo serves as a comprehensive platform for security and compliance, aiming to significantly mitigate critical vulnerabilities within businesses by merging complete asset visibility, risk assessment, and proactive remediation. It catalogs a thorough inventory of all types of assets, including cloud services, on-premises systems, SaaS applications, endpoints, network devices, and developer pipelines, while consistently evaluating their configurations, vulnerabilities, and interrelations. By incorporating business relevance, such as the importance of an asset, potential exploitation risks, and deviations from established policies, it effectively scores and identifies the most pressing threats. Users are provided with options for guided remediation through pre-tested code snippets and playbooks, or they can opt for autonomous remediation facilitated by orchestration pipelines, which include features for tracking, ticket generation, and verification. Additionally, Mondoo allows for the integration of third-party findings, works seamlessly with DevSecOps toolchains including CI/CD, Infrastructure as Code (IaC), and container registries, and boasts over 300 compliance frameworks and benchmark templates to ensure a thorough approach to security. Its robust functionality not only enhances organizational resilience but also streamlines compliance processes, offering a holistic solution for modern security challenges.

Ona, the evolution of Gitpod, is built to help teams move beyond traditional IDEs by serving as a central hub for modern software engineering. Its sandboxed environments run with full OS-level isolation, giving developers secure and consistent setups whether hosted in the cloud or on private infrastructure. With Ona Agents, teams can automate repetitive tasks, accelerate handoffs, parallelize work, and receive real-time support across scoping, coding, reviewing, and documentation. The platform ensures that developers can seamlessly switch between agent conversations, browser-based VS Code Web, or desktop IDEs without losing productivity. Enterprise-level guardrails reinforce compliance by offering detailed audit trails, network controls, and fine-grained organizational policies. Ona is already trusted by global enterprises in industries like banking and pharmaceuticals, highlighting its reliability at scale. Integrations with GitHub, GitLab, Redis, MongoDB, and AWS make it easy to connect existing workflows without disruption. With SOC 2 certification, GDPR compliance, and WCAGAA accessibility standards, Ona sets the standard for secure and inclusive developer productivity.

Mesa is an innovative platform that leverages artificial intelligence to enhance code review processes, enabling engineering teams to elevate software quality and confidently deploy code by addressing technical debt before it impacts production. The platform's smart agents are capable of understanding the distinct elements of a team's codebase, business logic, and development standards, allowing them to provide reviews that are contextual and precise, surpassing mere linting or generic suggestions from AI. Users have the flexibility to develop custom review agents that focus on specific issues such as security vulnerabilities, performance optimization, and domain-specific logic, while also selecting from a diverse range of foundational models from notable providers like OpenAI, Anthropic, and Google, which can be optimized for various metrics such as speed, cost-efficiency, or intelligence level. Additionally, Mesa produces comprehensive and consistent descriptions for pull requests utilizing team-defined templates, seamlessly integrating into existing CI/CD workflows, and adjusting to different branching strategies to ensure that quality checks are an integral part of daily development activities. This adaptability not only streamlines the review process but also empowers teams to maintain high standards throughout their software development lifecycle.

Harness the capabilities of AI to enhance your coding experience with CodeMind, which provides valuable suggestions designed to take your programming to the next level. Utilize various features available in your version control system to facilitate code reviews, identify bugs, and gain insights on code enhancements. You can also receive summaries of merge requests, making it easier for reviewers to evaluate your work effectively. If you encounter particularly intricate code during your review, don't hesitate to seek clarification. This includes explanations for application code, infrastructure code, and complicated regex patterns. Navigating the intricacies of code reviews can often be daunting; manually checking every line is labor-intensive, susceptible to errors, and risks missing out on optimization possibilities. That's where we come in to revolutionize your approach. Our solution streamlines the review process, allowing you to dedicate more time to what you do best: crafting exceptional code. With our AI-powered tool, you will benefit from thorough code evaluations that highlight potential problems often overlooked in traditional reviews, ultimately leading to a more efficient development cycle. Embrace the future of coding and let our technology enhance both your productivity and the quality of your work.

Cosine is capable of grasping both broad concepts and intricate details to deliver answers that surpass human capabilities. We are more than just a layer over an LLM; our approach integrates various methods such as static analysis and semantic search among others. Just pose a question to Cosine about adding a new feature or altering existing code, and we will produce a comprehensive step-by-step guide. Cosine meticulously indexes your codebase, comprehending it on various dimensions; from the relationships among files and functions to an in-depth semantic analysis of the code, ensuring that any inquiry regarding your codebase can be addressed. Genie stands out as the leading AI software engineer, boasting an impressive 30% evaluation score on the widely recognized SWE-Bench benchmark. It excels at debugging, feature development, and code refactoring, performing these tasks either completely independently or in collaboration with the user, creating a partnership akin to working alongside a colleague rather than merely acting as a copilot. Essentially, both Cosine and Genie redefine the standards of what AI can achieve in software engineering.

CodeSandbox aims to make it easier for you to express your ideas with code, and to validate them. It also removes the hassles of setting up development tooling and sharing your project. Join us to help build the future of web coding. Over 4M developers use the platform each month. This includes organizations like Shopify and Atlassian. Since its launch, creators have created over 35M apps. It's used in thousands of open-source projects like React, Vue and Babel. You can invite your friends, colleagues, or team to join you or simply view your creation by using a URL. Use any of 1M+ packages for building real, powerful applications quickly and efficiently. Import and run repos directly from GitHub or choose from hundreds of templates to start in seconds. Boxy, CodeSandbox's AI-powered coding assistant, is now available to all Pro subscriptions.