AI Code Assistant
A repo-aware assistant that understands your codebase's conventions and generates production-ready code inline with your editor.
Features
What's included
Overview
A closer look at AI Code Assistant
A repo-aware assistant that understands your codebase's conventions and generates production-ready code inline with your editor. Under the hood it combines multi-model reasoning with a dedicated context window for your repository, so results reflect the way your team actually writes code — not a generic public dataset.
Every run is executed in an isolated, ephemeral workspace. Source is encrypted in transit and at rest, discarded after the run, and never used to train shared models. Teams in fintech, health and government use AI Code Assistant in production with SSO, SCIM and full audit logs.
You pay only for the runs you actually execute — 3 credits per run, billed against your team balance. No seats, no minimum commitment, and you can pause any time.
By the numbers
Impact you can measure
Faster delivery on tasks using this tool
Of teams keep it in daily workflows after week one
Engineers actively running it every month
Availability across all supported regions
Benefits
Why teams use it
Ship features 3x faster
Onboard engineers instantly
Preserve code conventions
Use cases
Who it's for
For growing teams
Onboard new engineers faster and keep everyone aligned on how ai code assistant should work across services.
For scaling products
Handle 10x more workload without adding headcount — AI Code Assistant takes on the repetitive parts so people focus on architecture.
For regulated industries
Run in an isolated workspace with audit logs, SSO and role-based access — suitable for fintech, health and enterprise IT.
For solo builders
Pay only for what you run. No seats, no commitments — buy credits when you need them and ship weekend projects fast.
How it works
Three simple steps
Connect
Install the extension and point it at your repo.
Ask
Describe what you want in plain English.
Review
Inspect the generated diff before applying.
Example output
See it in action
// Generate a typed API client
export async function getUser(id: string) {
const res = await fetch(`/api/users/${id}`);
if (!res.ok) throw new Error("Failed");
return (await res.json()) as User;
}Comparison
With vs. without AI Code Assistant
Integrations
Works with your stack
Plug into the tools you already use. No lock-in, no proprietary formats — the output stays in your repo, your registry and your cloud.
What to expect
Your first 90 days
Day 1
Install & connect
Add the app to your repo, IDE or CI. Zero manual config.
Week 1
First results
Your team runs AI Code Assistant on real work and starts shipping the output.
Month 1
Team-wide adoption
Custom style guides and org rules are live, results are consistent across projects.
Month 3
Measurable ROI
Track saved engineering hours in the dashboard and adjust credit budgets by team.
“AI Code Assistant paid for itself in the first sprint. We stopped writing the same boilerplate three times a week and the team was noticeably happier by Friday.”
Marta K.
Staff Engineer, fintech scale-up
FAQ
Frequently asked questions
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