CodeContext AI™

Deterministic AI for Your Codebase

A CLI that knows every file, function, and dependency, checks official documentation before acting, and returns reviewable diffs—not random guesses. Cloud by default, privacy mode on demand.

Repo-first scaffoldingDeterministic outputsIncremental patchesOfficial-docs checkingPrivacy mode on demand

Built by an engineer who shipped at EDC-gruppen a/s (Denmark’s largest real estate agency) and GoWish / Ønskeskyen (global wishlist platform), and scaled Workr to 80,000+ users as a solo founder.

Deterministic, not generative roulette

Same input → same output. We produce a plan and a reproducible patch. You review diffs—no mystery dumps.

Repo-first, incremental changes

Small, validated patches gated by typecheck, lint, and a smoke boot. Safer than regen-the-world.

Official-documentation first

We consult official docs and your conventions before code is proposed. If facts are missing, we ask.

Cloud by default, privacy on demand

Fast cloud reasoning for speed; flip on privacy mode to keep inference local for sensitive work.

How it Works

1) Index & understand

We parse ASTs, dependency graphs, and git history to build persistent context across sessions.

2) Plan → patch

We produce a minimal plan, then a verified patch. Same inputs yield the same patch.

3) Quality gates

Typecheck, lint, and a tiny boot smoke check before any change is applied.

Hybrid reasoning orchestrator

We route tasks to the right backend: OpenAI/Claude for complex cloud reasoning; Ollama for local privacy—under one deterministic workflow.

Task-fit model selection

Fast planners for search & summarization, deeper models for refactors. You control policy; we enforce consistency.

User-controlled privacy

Choose hosted or local per command. We send the minimum required context, never train on your code.

The 5 Essential Commands

Concrete, deterministic actions. No vague “assistant” fluff.

$ codecontext init

Scan your repo once. Build persistent context across files/functions/deps. Keeps up via git.

Why it matters: Everything else relies on this solid memory.

$ codecontext chat

Ask questions about your own codebase with stable answers. No copy-paste.

Why it matters: Same question → same answer, grounded in your repo.

$ codecontext doc

Generate/update docs in your style. Only touches missing/outdated bits. Diff before commit.

Why it matters: Docs that respect your conventions, not boilerplate.

$ codecontext fix

Small, reviewable patches for bugs/refactors. Gated by typecheck/lint/smoke.

Why it matters: Minimal changes, predictable quality.

$ codecontext search

Semantic + code search across the repo. Surfaces exact spots with context.

Why it matters: Find the right thing fast, across languages.

Try the Community Starter

Describe your idea. Get a clean Next.js scaffold with TODO breadcrumbs and a plan.md.

0/2000 characters

Free • Next.js + Tailwind • Limited

Limited on purpose

Auth, DB, webhooks, tests, and deploy pipelines are CLI-only. The starter includes docs/scaffold-plan.md and visible TODO(Upgrade) markers.

Mission & Vision

Mission: Eliminate randomness from AI development by producing deterministic, reviewable changes that respect your codebase and official documentation — fast by default with cloud reasoning, private on demand.

Vision: A developer toolchain where AI is a trustworthy teammate — context-aware, accountable, and privacy-first when needed — so teams ship faster without sacrificing quality.

Core value: When facts are uncertain, we ask. When docs exist, we check. When code changes, we diff — no black boxes.

Why Teams Switch

Repo-first scaffoldingDeterministic outputsIncremental patchesPrivacy mode on demandDocs-first changesQuality gates

Capability	Prompt-to-App Builder	Cloud-only AI CLI
Deterministic, re-runnable outputs	Variable	Variable
Repo-first (diff + plan.md)	Monolith dump	Editor-bound
Incremental change mode	Regenerate project	Limited
Docs-first verification	Often guesses	Often guesses
On-demand local privacy mode	Cloud only	Cloud only
Quality gates (typecheck/lint/smoke)	None	Partial

Pricing

Early access is limited. Lock in early-bird pricing while we’re in alpha.

Community

Starter scaffold

• Community Starter generator
• plan.md + TODO breadcrumbs
• No auth/DB/webhooks (upgrade via CLI)

Limited seats — Early‑Bird

Alpha

$9/mo

First 100 testers • price lock

• CLI with 5 core commands
• Cloud by default + privacy mode
• Deterministic plan→patch workflow
• Priority support & feedback loop

No charge today. We’ll email you when your slot opens.

Team

$—

Coming post‑alpha

• Seats & policy controls
• Audit trail & quality gates
• SSO & on‑prem options

Alpha pricing is temporary and limited. Join now to lock it in.

Transparency & Trust

Clear about models, privacy, and how we handle your code.

Model usage

Cloud is default. We orchestrate OpenAI and Claude for hosted reasoning. For sensitive work, toggle privacy mode to route inference to Ollama locally where possible.

Orchestration policy

We pick the task-fit backend: fast planners for search, deep reasoners for refactors. You define guardrails; we enforce deterministic steps and quality gates.

Docs-first, ask > guess

We check official documentation and your conventions before acting. If facts are missing, we ask rather than guess.

Data handling

We only send the minimum necessary context to fulfill a request. We don’t train on your code. Diff previews make every change reviewable before application.

Founder on LinkedIn Open Source Core

Summary: Hosted by default for speed; local privacy mode on demand. Minimal data sent. No training on your code. Reviewable diffs for every change.

Founder Spotlight

Built by a developer working at the intersection of AI/LLMs and developer tooling.

Yonas Valentin Kristensen

Senior Software Engineer7+ years

Shipped at EDC-gruppen a/s (Denmark’s largest real estate agency) and GoWish / Ønskeskyen (global wishlist product). Founded Workr and scaled it to 80,000+ users solo. Now building CodeContext AI™ to eliminate randomness with deterministic, docs-first, repo-aware AI.

Users reached

80K+

Products shipped

15+

Awards

2× Employee of the Month

Focus

AI • LLM • DevTools

Read founder story LinkedIn GitHub

We keep direct contact details in the docs; this page focuses on the product and proof.

Ready for Deterministic AI?

Limited Alpha Seats

Join the waitlist to lock early‑bird pricing

We’ll notify you as soon as your slot opens.

GitHub