Approve the spec
Each user story carries acceptance criteria and a technical spec. Nothing is generated until you approve — the AI codes against an agreed target, not a vague prompt.
For engineering teams & technical founders
AI Code Generation from Requirements
VrittOS turns approved requirements into working code — delivered as reviewable GitHub pull requests with tests, never direct pushes to main. You stay in control; the AI does the heavy lifting.
Founding offer 50% off your first 3 months — ends 31 October 2026
✓ Code arrives as GitHub pull requests ✓ Tests generated and run before the PR opens ✓ CI failures triaged and fixed automatically ✓ 14-day free trial — no credit card to start
From requirement to pull request
Agents write the code
A developer agent implements the story on a feature branch in your GitHub repository, following your stack and the architecture the tech-lead agent planned.
Build verified green
A validator agent runs the full build and test suite before anything ships. Red builds are fixed by the agent — a PR only opens on green.
You review and merge
The pull request includes a summary, files changed, and test results. Your CI runs as normal; if it goes red later, VrittOS triages the failure and proposes fixes.
Code generation you can actually trust
The difference between a code assistant and a delivery platform is everything around the code: branches, tests, CI, and human control.
Pull requests, never pushes
Every change lands on a feature branch and arrives as a PR. Your main branch is protected by design — VrittOS cannot push to it.
Tests before the PR
Unit and integration tests are generated with the code and executed in a sandbox. The PR body shows exactly what ran and what passed.
Self-healing on red CI
When CI fails after merge conflicts or flaky changes, a triage agent reads the logs, explains the failure in plain language, and dispatches a fix.
Works with your repo
Connect an existing repository or let VrittOS create one. Repo analysis keeps generated code consistent with what is already there.
Story-by-story delivery
Code is generated per user story with dependency ordering — foundation stories first, parallel stories in flight together, conflicts auto-resolved.
A fix panel when you want hands-on
Chat with the agent about a branch, request changes, or commit tweaks — the same build gate applies before anything reaches the PR.
As a developer, what I like about VrittOS is that it goes beyond simply prompting an AI and waiting for a response. It gives AI agents the context and workflows needed to carry tasks forward, react to results and continue working towards an outcome. It’s a much more useful model for bringing AI into real day-to-day work.
Himanshi Gupta
Lead Developer
Common Questions
Does the AI push code directly to my main branch?
No — never. All generated code goes to feature branches and arrives as pull requests you review and merge. Merging is gated on a green build.
What does the AI need before it can generate code?
An approved user story with acceptance criteria and a connected GitHub repository. VrittOS generates the requirements and stories for you from a plain-language idea, so you can go from nothing to reviewable code in one flow.
What happens when the generated code fails the build?
The validator agent runs the build and tests before a PR opens; failures are fed back to the developer agent for fixes. After merge, CI failures are triaged automatically with plain-language decision cards.
Which languages and stacks are supported?
VrittOS works with mainstream web stacks and picks up the conventions of your existing repository via repo analysis. The architecture agent proposes the stack for greenfield projects, and you approve it before any code is written.
AI-Native. Human-Approved.
Production-Ready.
A team of specialised AI agents runs your delivery pipeline — you keep every decision that matters.
- 16
- Specialised AI agents
- Hours
- From idea to first PR
- 4
- Human approval gates
- £29
- Plans from, per month
Ready to transform your software delivery?
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