Implement AI coding assistants with predictable, reliable results

Predictable Code converts your requirements into a real-time verification layer, keeping AI-generated code aligned, consistent, and safe across every codebase, so all your teams work with the same context.

See How It Works

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Built for engineering teams in industries like:

Financial Services

Healthcare

Safety-Critical

Streaming Media

Scientific Research

Aerospace

Open Source

Core Principles: The Problems We Solve & How We Solve Them

Four foundational principles that ensure AI-generated code meets production standards.

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Continuous Verification

Every code change is verified in real time against formal requirements, producing proofs that guarantee full alignment with the project's specifications. We use formal verification to check the correct implementation of requirements, giving any Code Agent the certainty that its modifications remain correct and do not break existing functionality.

THE PROBLEM WE SOLVE

Inconsistent behavior across LLMs and distributed teams

Different LLMs and prompts produce code that behaves differently, breaking assumptions across the system. AI often introduces hallucinated or dead code that looks valid but doesn't match real specs.

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Shared Team Context

A unified source of truth for requirements, architecture, and reasoning. Every contributor — human or AI — inherits complete context instantly, producing aligned, consistent code from day one.

THE PROBLEM WE SOLVE

Context Loss in AI-generated code

Fragmented context across engineers, contractors, and models leads to inconsistent implementations. New contributors take weeks to get aligned.

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Bidirectional Sync

Docs update automatically when code changes. Update requirements, and code adapts to match. Engineers never write or maintain documentation manually again.

THE PROBLEM WE SOLVE

Docs and code drift apart

Requirements, documentation, and implementation diverge as changes accumulate. Keeping docs updated becomes unsustainable.

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Audit-Ready Proofs

Cryptographically verifiable proofs connect requirements → implementation → verification. Complete traceability for high-stakes industries like finance and healthcare.

THE PROBLEM WE SOLVE

Subtle regressions and missing auditability

AI refactors introduce hidden bugs and security risks that slip through review. Audit trails are manual, slow, and incomplete.

Built for real engineering teams, not toy demos.

Designed for medium and large projects with many contributors

Works with your repo, CI/CD, and existing workflows

Formal verification under the hood, simple UI on top

Built by engineers, for engineers

Predictable Code isn't just another coding assistant. It's the verification layer that makes all of them safe for production.

Feature	Predictable Code us	Claude Code	GitHub Copilot	Cursor	Kiro
AI Code Generation
Spec Scope	REPO-WIDE	LOCAL ONLY	LOCAL ONLY	LOCAL ONLY	REPO-WIDE
Formal Verification		—	—	—	—
Spec Synchronization		—	—	—
Audit-Ready Proofs		—	—	—	—
Prevent Regression		—	—	—	—

Compatibility Note: Predictable Code works with your existing tools. We instrument Claude, Copilot, Cursor, and Kiro to add our verification layer on top of their generation capabilities.