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Description
JackHamr functions as an AI-driven software solution that manages the entire development process from start to finish. Rather than relying on a singular AI assistant, it coordinates a team of specialized agents: a specification agent formulates requirements, a planning agent divides them into tasks, a coding agent develops the software, a testing agent performs evaluations, a quality reviewer ensures standards are met, and a deployment agent launches the product. These agents operate within hosted cloud development environments utilizing tools such as VS Code, Docker, SSH, and WireGuard-encrypted networking, allowing them to continue functioning even when your laptop is closed. Communication with these agents can be conducted through push-to-talk voice chat or natural typing, making interactions seamless. GitHub integration is built-in, offering features like one-click cloning, automatic branch creation for each task, real-time commit synchronization, and the ability to create pull requests effortlessly. Users have the flexibility to utilize their own LLM keys from providers like OpenAI, Anthropic, Google, or opt for the cost-effective options available through JackHamr, with the ability to switch models during the workflow. The pricing model is pay-as-you-go with detailed billing, charging only for infrastructure costs and LLM tokens without any additional fees. To encourage new users, there is a $10 credit available at the outset, and no credit card is required for registration, allowing anyone to experiment with the platform without financial commitment. This innovative approach not only streamlines software development but also enhances collaboration among various specialists in the field.
Description
fx is a compact, open-source coding agent and command-line interface (CLI) developed in Zig, specifically optimized for research applications, performance, and seamless integration into larger systems. Its architecture emphasizes minimalism throughout the system prompt, available tools, feature set, memory usage, and maintains a small binary size of just 6 MB, aiming for an interface experience that resembles a Unix shell rather than a cumbersome terminal IDE. With an impressive cold start time in microseconds, fx avoids unnecessary tasks or input/output operations before receiving commands, making it ideal for programmatic applications, environments with limited resources, and agent sandboxes. Developers can easily initiate it within a project to perform tasks such as reading files, searching through code, executing commands, implementing changes, running tests, and streaming tool activations in real time. The underlying framework is both model- and provider-independent, enabling compatibility with local models, API gateways, direct provider connections, and cloud-based inference options. By design, it maximizes context efficiency, utilizing a succinct system prompt and streamlined toolset to minimize token overhead and enhance the speed of response to the first token generated. In addition, this unique focus on lightweight operation and quick interaction allows developers to maintain productivity without the typical overhead associated with more complex environments.
API Access
Has API
No
API Access
Has API
No
Screenshots View All
No images available
Integrations
Anthropic
Yes
Claude
Yes
Docker
Yes
GitHub
Yes
OpenAI
Yes
Visual Studio Code
Yes
Integrations
Anthropic
No
Claude
No
Docker
No
GitHub
No
OpenAI
No
Visual Studio Code
No
Pricing Details
$0 to start, pay-as-you-go
Free Trial
Yes
Free Version
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
JackHamr
Founded
2026
Country
Canada
Website
www.jackhamr.ai
Vendor Details
Company Name
Vercel
Founded
2015
Country
United States
Website
fx.sh/
