A local AI coding assistant
ContextMint is a local AI coding assistant for VS Code. A solo developer starts on one machine. A team sees evidence before the model answers and approves changes before they apply.
The problem we solve
AI can produce changes faster than organizations can review them with evidence. Knowledge is fragmented across git, CI, docs, and ticketing. Reviewers merge with incomplete context.
ContextMint indexes the workspace, surfaces stored governance findings, and puts human gates in front of inference and repo writes — on your infrastructure by default.
How we are different
- Evidence first — Context Lens and citations before the model answers
- Local-first — code stays on your machine; privacy by architecture
- Human apply gates — patch preview; no silent auto-apply
- Coding assistant — Ask, Plan, and Agent in the editor, with patch preview before writes
Principles
Human gates before inference and before apply.
Indexed excerpts and stored findings beat ungrounded chat.
Quality map, apply gates, and operator audit trails in v1.0.
Founder
Anis Batliwala — Founder, CEO & CTO, ContextMint
Building local-first, governable AI for software teams.
The ContextMint platform
Coming soon: ContextMint Engine and the VS Code extension — a local coding assistant, quality map, Context Lens, and human approval before writes. DNA reports, blast-radius, and PR-time Verification Engine checks are roadmap.
See ContextMint on your codebase
A local AI coding assistant for a solo developer. The same product adds a shared server and human approval for a small company or enterprise. Coming soon.