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Context Engineering · AI Agents

Stop giving your agents
a blank slate.

ChooChoo compiles your codebase into structured context files that agents read at startup — so they know your standards, architecture, and boundaries from day one.

choochoo
$ choochoo context generate

  Scanning repository...
  ✓  247 source files indexed
  ✓  3 schema types resolved   (OpenAPI · ODCS · Arazzo)
  ✓  4 architecture decisions compiled
  ✓  Security constraints extracted

  Generated:
    AGENTS.md      5.1 KB   ← Codex, OpenCode
    CLAUDE.md      2.3 KB   ← Claude Code
    GEMINI.md      2.1 KB   ← Gemini
    .cursor/rules  1.8 KB   ← Cursor
    copilot.md     1.6 KB   ← Copilot

  Done in 1.4s

Works with your favourite agents

ClaudeCodexCursorGeminiOpenCodeCopilot
The Problem

Three things breaking
every agent deployment.

These aren't edge cases. They're the default state for every team deploying AI agents without a context layer.

01

Context Amnesia

Agents start every session blank. They rediscover your architecture, re-learn your patterns, and ignore the decisions that explain why the code is the way it is.

02

Standards Drift

Without a shared rules file, every developer's AI generates different code. What passes review for one engineer fails for another — and no-one knows why.

03

Invisible Risk

You can't govern what you can't see. Agents make consequential changes to regulated code with no audit trail, no approval gate, and no way to reconstruct the reasoning.

How it works

Generate. Enforce. Observe.

Three steps that compound. Each one solves a problem that makes the others more powerful.

01

Generate

ChooChoo scans your codebase and compiles structured context files — AGENTS.md, CLAUDE.md, .cursor/rules — tailored to every agent in your stack. Auto-updated on every commit.

02

Enforce

Agents read your context at startup. Code standards, architectural decisions, and security guardrails are live before the first prompt — not discovered after the first failed review.

03

Observe

Every agent decision is traced. Spot standards drift, measure output quality, and enforce governance policies across your entire fleet — in real time.

Works with every agent in your stack.

One command. The right context file format for every agent, automatically.

Start with context. Ship with confidence.

Give your AI agents the institutional memory they need. Set up in minutes and see the difference on the first session.