Dolomite AI fixes bugs, repairs deployments, adds tests, cleans up messy repos, and prepares pull requests — routing each task to the right model under your workspace budget.
Fix / Test / Ship
any repo — and turn AI output into real, production software.
AI coding tools make it easy to create a first version. Teams still get stuck on broken builds, messy repositories, failed deployments, missing tests, unstable integrations, and code nobody wants to maintain.
Dolomite AI handles the maintenance layer after the first version is built.
No prompts to babysit. Connect once, describe the outcome, and the agent runs the loop end to end.
Authorize the Dolomite GitHub App and point it at any repository — public or private.
A plain-English goal: fix a bug, repair a deploy, add tests, or clean up the repo.
The agent maps files, dependencies, and CI signals to understand the codebase.
Each phase is routed to the model best suited for it, under your budget.
Changes run in an isolated, ephemeral environment — never against your live repo.
Typecheck, tests, build, and security scans verify the change before anything ships.
A documented, reviewable PR lands for your team to approve — nothing merges itself.
documented · checked · yours to review
Dolomite AI does not depend on one model. It routes each phase of the job to the model best suited for that step: fast models for classification, long-context models for repo understanding, stronger coding models for complex changes, and verifier models for final review.
A quick model scores each task's type and difficulty before real work begins.
Large-window models read whole repositories for cross-file understanding.
Complex edits go to the strongest coding models available.
Test scaffolds route to efficient models that keep run cost down.
An independent verifier model reviews the final diff before the PR.
If a provider degrades mid-run, work reroutes without failing the task.
Dolomite AI gives teams centralized AI coding usage, workspace budgets, member-level usage, repo-level usage, and model policy controls.
One shared balance of Dolomite Credits for the whole team — no per-provider invoices.
Hard caps at the workspace and per-run level prevent runaway usage.
See what each teammate spends, run by run.
Track which repositories consume the most maintenance effort.
Control which model classes the agent may use — premium, efficient, long-context, or self-hosted.
Every run, route, and credit deduction is recorded for review.
Broken compile, red CI, failing pipelines — diagnosed and patched with a verified fix.
Deployment logs are parsed, the root cause isolated, and the deploy restored to green.
Wire up payments, databases, email, and third-party APIs with working integration code.
Meaningful coverage for critical paths and edge cases — not filler assertions.
Refactor vibe-coded output into structured, maintainable modules.
A verifier pass flags fragile code paths before they reach production.
Keep fast-moving codebases healthy without pulling engineers off the roadmap.
Ship features while the agent handles the maintenance backlog behind you.
Maintain dozens of client repos in parallel with predictable, capped cost.
A maintenance engineer on demand, priced for a team of one.
Keep the app you launched working — without hiring before you're ready.
Turn AI-generated first versions into software you can actually run in production.
Dolomite AI prepares proposed changes, explains what it changed, shows checks, and gives your team a pull request to review. You stay in control before anything is merged.
Every change lands as a pull request prepared for human review
Model policy controls keep usage aligned with company rules
Budget limits prevent runaway usage — the agent stops, not your card
Provider keys never leave Dolomite's backend or reach frontend code
No. Dolomite prepares a pull request for review — you stay fully in control of what merges. Nothing lands on your default branch without a human approving it.
Code runs in isolated, ephemeral sandboxes that are torn down after each task. Model provider API keys never leave Dolomite's backend, and provider calls go through Dolomite's internal model gateway.
Dolomite is model-agnostic. It routes each phase of a task across fast, long-context, premium, and verifier models from multiple providers based on difficulty and your workspace budget. You never manage provider accounts or API keys.
Yes. Every workspace has a monthly budget in Dolomite Credits, plus a per-run limit you set when launching the agent. If a run would exceed its budget, the agent stops and reports back instead of overspending.
No — and we don't claim it can. Dolomite proposes changes as pull requests with checks attached; your team reviews before merging. Security-critical work should always get human review.
Connect a repository, describe the task, and review your first agent-prepared pull request in minutes. Every run stays inside your workspace budget.
Agent preview · Workspace budgets · Pull requests for human review
Autonomous code maintenance for modern software teams, agencies, and companies.