Repositories
Your codebase, in context.
PlanProof checks AI-generated engineering plans against your real codebase snapshots, finds risky assumptions, and returns evidence-backed decisions before implementation begins.
Turn ambitious plans into verifiable steps. PlanProof pressure-tests implementation ideas against your actual codebase so you eliminate blind spots and ship with confidence.
Decompose plans into structured claims spanning database schemas, API contracts, dependencies, and business rules.
Inspect codebase facts using bounded AST parsing, lexical search, and cryptographic file line hashes.
Authoritatively verify, disprove, or escalate authority gaps to human stakeholders before code generation starts.
From raw engineering intent to an authoritative Plan Gate in five deterministic steps.
PlanProof connects your code, tools, and evidence so every verification decision is grounded in reality.
Your codebase, in context.
Trace every decision to source.
Audited tool execution logs.
Objective checks, not guesswork.
Engineered from first principles: the model proposes, deterministic software authorizes.
Every verification run binds to an exact 40-character Git commit SHA, ensuring evidence never drifts with branch updates.
Python AST parsing (ast.parse) and lexical search tools inspect code structure and line ranges within strict containment boundaries.
Evidence IDs and cryptographic SHA-256 content hashes are minted exclusively by backend services upon successful tool execution.
A single auditable state machine enforces hard limits on iterations, tool runs, model invocations, and context size.
Workflow pauses with HUMAN_REQUIRED when code evidence lacks business authority, and resumes asynchronously upon human input.
MongoDB Atlas persists domain and run state across worker restarts, with Redis and Dramatiq coordinating async task queues.
Clear, honest answers about PlanProof architecture, authority boundaries, and execution.