agent-os  by buildermethods

Spec-driven agentic development for AI coding agents

Created 2 months ago
1,590 stars

Top 26.3% on SourcePulse

GitHubView on GitHub
Project Summary

Agent OS is a system designed to improve the planning and execution of software development tasks performed by AI agents. It aims to transform AI coding agents from unreliable assistants into productive developers by providing structured workflows and detailed specifications tailored to specific codebases and development standards. This system is suitable for various AI coding tools, project types, and technology stacks.

How It Works

Agent OS operates on a "spec-driven" approach, meaning it relies on detailed specifications to guide AI agents. This methodology provides agents with the necessary context and requirements to produce higher-quality code more efficiently, reducing the iterative process often associated with AI-generated code.

Highlighted Details

  • Enables AI agents to ship quality code on the first try.
  • Supports structured workflows capturing standards, stack, and codebase details.
  • Compatible with Claude Code, Cursor, and other AI coding tools.
  • Applicable to new products, established codebases, and various task sizes.

Maintenance & Community

Created by Brian Casel, the founder of Builder Methods, which focuses on helping professional software developers and teams build with AI. Resources from Brian Casel include the Builder Briefing newsletter and a YouTube channel.

Licensing & Compatibility

The provided README does not specify licensing information or compatibility details for commercial use.

Limitations & Caveats

The README does not detail specific limitations, known bugs, or the project's current development stage (e.g., alpha, beta). Licensing and compatibility for commercial use are also not specified.

Health Check
Last Commit

1 week ago

Responsiveness

1 day

Pull Requests (30d)
27
Issues (30d)
18
Star History
654 stars in the last 30 days

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