Best Software Development Analytics Tools for AccessOwl

CloudBees is a software delivery platform that offers complete functionality. Developers can innovate faster with self-service, scalable, repeatable and compliant workflows. Learn how we can help you release safer, faster software. You can manage, release, and monitor features at scale. Visibility should not be limited to a single pipeline. You can orchestrate your software delivery company from beginning to end. Learn why "meta" orchestration is such a game-changer. Analyze, communicate, and measure the impact of software delivery on business performance. Get answers to your questions about software delivery analytics. You can ensure that assets are compliant at all stages, including production. This will allow you to automatically identify potential risks and address them. Stop waiting for builds, fixing bugs and rewriting scripts. You can now focus on your core competencies: feature management and fast workflows. Automate compliance, security, governance and compliance without limiting flexibility. Developers are happier when you're confident. Software delivery should be treated as a business. Manage risk proactively

Weave is an engineering intelligence platform that helps organizations measure software delivery performance, developer output, code quality, AI adoption, and the economics of AI-assisted development. It analyzes engineering activity from AI prompts and token consumption through commits, pull requests, reviews, deployments, and production outcomes. The platform combines AI-specific measurements with established engineering frameworks such as DORA and SPACE to provide a unified view of software development performance. Token intelligence shows how spending is distributed across AI models, providers, engineers, and development tools while evaluating efficiency and quality alongside raw consumption. Organizations can use these metrics to compare AI-assisted output with historical baselines and identify where AI is contributing to measurable improvements or unnecessary costs. Weave Router automatically classifies prompts and sends them to models selected for an appropriate balance of cost, latency, and output quality. The router can work with AI providers including Anthropic, OpenAI, and Google while learning from feedback at both the user and organizational level. Wooly provides an AI interface for asking questions about engineering performance, AI usage, deployment bottlenecks, and team effectiveness using connected internal records as evidence. Weave is intended for engineering executives, development managers, platform teams, AI transformation leaders, and enterprises seeking greater visibility into the productivity and financial impact of AI coding tools.

Weave is an innovative tool that leverages machine learning to accurately assess engineering output, truly comprehending the nuances of this vital area. Engineering leaders frequently evaluate output, whether transparently or discreetly, but often depend on inadequate metrics such as lines of code, the number of pull requests, or story points, which only have weak correlations to actual effort, hovering around 0.3 and 0.35 respectively. These metrics fall short as effective indicators of productivity. To address this issue, we have crafted a specialized model that thoroughly examines code and its effects, achieving a significantly higher correlation of 0.94. Our solution introduces a standardized metric for measuring engineering output that avoids promoting superficial achievements. Moreover, it allows you to compare your team's performance with that of peers while ensuring complete confidentiality. This holistic approach not only enhances understanding but also fosters a more accurate evaluation of engineering success.

Athenian is a comprehensive engineering platform that leverages data to give engineering leaders complete visibility, allowing them to comprehend the reasons behind their processes, make informed choices, and align their teams with the overarching objectives of the company. By presenting insights into the delivery pipeline without fixating on separate metrics, Athenian cultivates an environment of ongoing enhancement. Users have indicated remarkable improvements, such as a reduction of over 30% in PR cycle time, a fivefold rise in release frequency, and a greater than 40% decrease in lead time within the initial three months of implementation. The platform promotes deeper insights by providing full visibility from the creation of tickets to their deployment in production, is designed to be team-centric to guarantee success across the organization, and focuses on achieving success through continuous mentoring from seasoned engineering professionals. Athenian also offers seamless integration with existing technology stacks, along with a variety of resources including blogs, podcasts, and toolkits, to empower engineering leaders in realizing their objectives. Additionally, it encourages collaboration among teams, which not only enhances productivity but also drives innovation.