kingbootoshi

kingbootoshi / tla-precheck

Public

Your TLA+ spec and your TypeScript code drift apart. This kit makes that impossible.

25
4
100% credibility
Found Mar 16, 2026 at 25 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

TLA PreCheck lets developers describe state machines in TypeScript, verifies them exhaustively with formal methods, and generates runtime code plus database safeguards.

How It Works

1
🔍 Discover TLA PreCheck

You hear about a tool that catches hidden bugs in your app's workflows before they cause problems.

2
🛠️ Get your computer ready

A quick setup prepares everything you need to start designing safe state changes.

3
✏️ Describe your workflow

You write a simple outline of how things like orders or tasks change states, like queued to running.

4
🧮 Mathematically prove it's safe

The tool checks every possible path and confirms no bugs can sneak in, giving you peace of mind.

5
⚙️ Generate ready-to-use code

It creates functions and database rules that match your proven design perfectly.

6
🔗 Plug into your app

You call the simple functions in your code, and everything stays consistent and secure.

✅ Build with total confidence

Your app handles states flawlessly, no more scattered checks or surprise failures.

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AI-Generated Review

What is tla-precheck?

TLA PreCheck is a TypeScript kit that stops your TLA+ specs and runtime code from drifting apart. Write state machines once in a simple DSL, and it model-checks every reachable state with TLC, generates typed functions, and Postgres DDL for DB enforcement. Run `npx tla-precheck init billing` to scaffold, `check` to prove invariants, `build` for adapters—no more scattered if/else guards.

Why is it gaining traction?

It delivers bit-identical graphs between TLA+ specula tla+ and TypeScript interpreter, catching bugs testing misses, like Amazon did for DynamoDB. Agents love the `/tla-precheck` skill for Claude/Codex; one DSL replaces dual hallucination surfaces. Lint blocks raw DB writes, making drift impossible even as code evolves.

Who should use this?

Backend engineers modeling billing cycles, subscriptions, or agent runs in Postgres-heavy apps. TLA specialists or teams chasing tla+ examples github for production flows like one-active-per-user invariants. Skip if your states are trivial; ideal for distributed systems where races kill.

Verdict

Grab it for critical state machines—solid docs, examples, and CI scripts lower the tla+ toolbox github barrier despite 25 stars and 1.0% credibility score. Early but proven on agentRuns (29M states in 3min); scale tiers from PR-fast to nightly. Yolo TLA github without the pain.

(198 words)

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