Codex just nuked an endpoint Claude had flagged to preserve for six months. No warning. No shared history. Just a broken API pushed live.
That’s the nightmare of juggling multiple AI coding assistants—Claude Code sketching architectures, Codex hammering implementations, Gemini CLI running reviews. They’re brilliant individually. But together? Chaos.
And here’s Delimit, a governance layer that stitches them into a coherent workflow. Built by someone fed up with re-explaining context every switch, it introduces a shared ledger, memory store, and context filesystem. No more vibes-based development.
What Happens When AIs Don’t Talk to Each Other?
Context vanishes. Claude drafts a nested address schema in v2—smart move for future-proofing. Close the session. Fire up Codex. It stares blankly; you paste the schema, but the why—that rationale for nesting over flat fields? Gone. Poof.
Ledger drift creeps in next. Task tracked in one tool? The next model duplicates it or skips entirely. Decisions reverse silently: Model A keeps /v1/users for compatibility. Model B? Deletes it. Ship to prod. Customers rage.
“The problem isn’t that any of them are bad. The problem is that none of them remember what the others did.”
These aren’t bugs. They’re the default when you mix AI coders on one codebase. Last month’s API migration proved it—pure pain.
Delimit flips the script. It runs as an MCP server; every tool connects. Claude logs a task, stores schema in the context FS, rationale in memory. Codex loads the handoff, searches memory, implements without amnesia. Gemini reviews the chain: plans, code, decisions. All persistent. Shared.
Setup’s dead simple: npx delimit-cli setup. It configs Claude Code, Codex, Gemini CLI, even Cursor. Same server. Unified state.
Why Does This Governance Layer Actually Stick?
Look, we’ve seen hype tools before—promising AI harmony, delivering duct tape. But Delimit’s architecture nails the how: three layers, deterministic diffs, no LLM guesswork in classification.
Ledger tracks tasks across sessions. Memory’s searchable decisions. Context FS holds artifacts like schemas, guides. It’s like Git for AI state, but real-time and model-agnostic.
The diff engine? Spots 27 change types—17 breaking, 10 safe. Always the same output. Policies in YAML enforce rules:
rules:
- id: freeze_v1
name: Freeze V1 API
change_types: [endpoint_removed, method_removed, field_removed]
severity: error
action: forbid
conditions:
path_pattern: "^/v1/.*"
message: "V1 API is frozen. Changes must be made in V2."
That catches the endpoint delete cold. Runs in CI too—no keys needed.
GitHub Action example? Pull request triggers delimit-action@v1. Fetches base spec, diffs against PR, comments with breaking changes, semver bump, migration guide. Boom.
Demo seals it. Clone the repo, run python3 demos/cross_model_handoff.py. Watch Claude plan /users migration (nested addresses), persist schema/rationale. Codex implements, writes guide. Gemini governs: classifies MAJOR (three fields gone, object added), verifies coverage. Each calls Delimit APIs. smoothly handoff.
But wait—my take? This isn’t just a fix; it’s the proto-Kubernetes for AI agents. Remember early dev teams without Git? Branch hell, lost merges. Delimit’s ledger preempts that for code AIs. Bold call: in two years, every serious multi-agent setup mandates this. Or equivalents. Vendors will copy fast.
Can Delimit Prevent Real-World API Disasters?
Absolutely—if you use it. That Codex revert? Policy blocks it. CI flags before merge. No prod explosions.
Skeptical? It’s open-source-ish (MCP server on GitHub). Deterministic diffs mean reliability trumps LLM flakiness. Policies let you freeze v1, mandate guides, whatever.
Downsides? Still nascent. Scaling to massive codebases untested. But for API work, migrations? Spot-on. And that CI integration—game over for manual reviews.
Here’s the thing: AI coding’s exploding, but without governance, it’s artisanal chaos. Delimit shifts architecture from siloed sessions to federated state. Why? Because solo models peak quick; ensembles win long-term. (Corporate spin calls it ‘orchestration.’ Nah—it’s plumbing that works.)
Why Should Developers Care About Multi-AI Workflows?
You’re not using one tool forever. Claude excels at high-level design—those nested schemas scream it. Codex crushes boilerplate. Gemini’s great for audits. Best teams mix ‘em.
Without Delimit, you’re copy-pasting context, rebuilding rationale. With it? Fluid. Productive. Scales to agent swarms.
Prediction: This sparks ‘AI devops.’ Ledgers like this become standard, much like Docker standardized containers amid VM sprawl.
Short version? If you touch APIs, clone that demo. Feel the handoff. Then integrate.
**
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Frequently Asked Questions**
What is Delimit and how does it work with Claude Code?
Delimit’s a governance layer—MCP server with ledger, memory, context FS. Tools connect; state shares across Claude, Codex, Gemini. No re-explaining.
How do you set up Delimit for AI coding assistants?
Run npx delimit-cli setup. Configs your tools automatically. Add GitHub Action for CI: delimit-ai/delimit-action@v1.
Does Delimit catch breaking API changes in CI?
Yes—diffs specs, classifies changes (27 types), posts PR comments with semver and migration guides. Policies enforce freezes.
