Stage 3 — Execute
Autonomous implementation, one component at a time.
The execution loop runs your AI coding tool in a cycle: pick the next incomplete component, implement it, verify, commit, and exit with fresh context.
See how Verify works →The problem
✕
Context windows fill up and output quality degrades mid-task✕
Agents lose track of cross-cutting decisions across long sessions✕
No structured memory means the same mistakes repeat across iterations✕
Manual orchestration of agent work does not scale beyond simple tasks✕
Not everyone knows what an execution loop is or how to use or build itWhat ContextRail enables
1
1
Fresh context window per component—no accumulated hallucinations
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2
File-based progress tracking persists state across iterations without LLM memory
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3
Cross-cutting decisions documented in decisions.md carry forward automatically
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4
Gate failures documented with root cause and retry strategy for the next run
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5
Standard checked through every iteration of the execution loop
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6
Works with Cursor, Claude Code, Codex, Aider, and any MCP-compatible file-editing agent
Tools & integrations
MCP Server
Claude Code
Cursor
Each component gets the AI's full attention. The loop handles the orchestration.