Tell us what you are building. We will tell you how.

Yes. Our agent workforce runs against your repositories around the clock — triage, fixes, tests, dependency upgrades and long migrations. Every change arrives as a pull request that a Codestarn engineer has already reviewed, and anything ambiguous escalates to a human squad instead of being guessed at.

Yes, and we will sign it. The AI policy is yours: off entirely, scoped per repository, or agent-first with human review. It is agreed in writing before sprint one, it can change at any sprint boundary, and every model-assisted change is logged so you can audit what was used where.

That is a service in its own right. We stand the fleet up inside your accounts — orchestration, sandboxes, secrets, permissions and spend limits — write the usage policy your security team will sign, build an evaluation harness from your own codebase, train your engineers to run it, and then step back.

No. We run on zero-retention endpoints, and your repositories, tickets and data are never used for training. That commitment goes in the contract alongside the NDA.

Every project runs through code review, automated tests and a security pass before release. We follow OWASP guidance, sign NDAs before the first call, keep source in your repositories and can work inside your VPN or cloud account when compliance requires it.

We start from the job the user is doing, not the screen. Flows are prototyped in Figma and tested with real users before a line of production code is written, and we hold every build to accessibility contrast, keyboard and reduced-motion standards.

Over a decade of delivery, 300+ engineers and a model built around your time zone. You get a dedicated team with named people, not a rotating pool, and a single point of contact who is accountable for the roadmap.

Web and mobile application development, custom enterprise software, AI and automation, data engineering and analytics, cloud migration and DevOps, plus staff augmentation and full offshore development centres.

Yes. Support plans cover monitoring, incident response with agreed SLAs, security patching, dependency upgrades and a monthly improvement budget so the product keeps moving after launch.

Two-week sprints with a demo at the end of each one. Day-to-day communication happens in your Slack or Teams, work is tracked in your Jira or Linear, and you get a written status note every Friday.

A focused MVP typically lands in 10–14 weeks; a full product with back office and integrations runs 4–7 months. We quote fixed scope after a paid discovery sprint, or a monthly team rate if the roadmap is still moving.