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Use an auditable lightweight code agent for coding, planning, search, and debugging.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "DM-Code-Agent" yet — see the docs or source repo.
Act as a code agent for this Python repository: reproduce the error, identify the root cause, and provide a minimal fix with a code patch.
A result containing reproduction steps, root-cause analysis, a fix patch, and change notes.
Review the project structure and key modules, then create a step-by-step implementation plan for adding a user permission audit feature, including files to change, tests, and risks.
A structured development plan with task breakdown, impacted files, testing suggestions, and potential risks.
Replay the existing execution trace of the code agent, summarize each decision step, and evaluate its performance and improvement areas on SWE-bench Lite-style tasks.
An auditable execution review with decision summaries, evaluation findings, and optimization suggestions.
Offline code retrieval and structural analysis tools for AI agents with fewer tokens.
Analyze codebases and generate AGENTS.md files for AI coding agents.
Gives coding agents a deterministic call graph to reduce breakage and token waste.
Enable fast hybrid code search for agents with precise code context retrieval.
Integrate multi-agent AI into IDEs for coding, review, optimization, and security checks.
Help AI coding agents understand codebase structure, history, docs, and health.