coderlm
Tackle 100-file projects without context window pain
❌ Large codebases with hundreds of files overwhelm AI context windows, causing incomplete analysis and failed refactoring tasks.
✅ Automatically decompose massive codebases into manageable chunks, with intelligent file discovery and recursive sub-agent coordination.
- ✓Recursive file discovery and strategic peeking
- ✓Automatic context window overflow protection
- ✓Divide-and-conquer agent decomposition
- ✓Built-in bashrlm output truncation
- ✓Works with any LLM backend
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Description
--- name: coderlm description: Use when a task involves many files (>10), the total content exceeds comfortable context size, or the task benefits from divide-and-conquer. Runs an agent that discovers files via shell tools, peeks strategically, and recursively decomposes into sub-agents. Bundles bashrlm context guards — output from high-output commands (cat, grep, rg, jq, find, ls, curl, etc.) is automatically truncated so the agent never floods its own context window. --- ## Usage ``` coderlm <agent> --prompt <file> [--max-depth N] [--allowedTools TOOLS] ``` ## Examples ```bash echo "Find all TODO comments in src/" > task.txt coderlm codex --prompt task.txt coderlm "bunx --bun @google/gemini-cli" --prompt task.txt echo "Fix type errors in src/" > task.txt coderlm claude --prompt task.txt --allowedTools "Bash,Edit" ```
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