The platform
behind the platform.
Five AI agents working as a team — one writes the spec, another the code, a third reviews, a fourth deploys, a fifth runs ops. It is how a small Ahmedabad team builds 12 industry AI products on one engine. We use it internally every day. We are preparing to open it up to a small set of partners who want to ship faster without lowering the bar.
A team of AI agents that build software end-to-end.
Most companies use AI to assist a developer. Xwits Engineering replaces most of the developer’s routine work with a team of specialised AI agents. Each agent owns one stage of the software lifecycle. The platform handles the handoffs.
The analyst turns a brief into a spec. The architect plans the build and writes the tests first. The builder writes the code against those tests. The reviewer checks it against the spec. Ops deploys it and watches it in production. A human signs off at every gate — the agents never ship unattended.
From spec to ship.
Five stages.
The pipeline runs continuously. Specs in, software out. Humans review at every stage gate. On a custom build, a forward-deployed engineer drives the pipeline on your behalf — the human layer that scopes, reviews, and ships while the agents do the volume.
Takes a written brief, a feature request, or an existing ticket. Asks clarifying questions. Returns a structured specification with edge cases, acceptance criteria, and priority.
input: brief.md output: spec.json review: human +1
Plans the technical architecture. Writes the test cases first. Picks libraries. Writes the migration plan if database changes are needed.
input: spec.json output: tests/*, plan.md review: tech-lead
Writes the actual code, end to end. Front end, back end, database, integration. Runs against the test cases the architect wrote.
input: tests/* output: PR review: reviewer-agent
Reads the generated code as a senior engineer would. Checks for security issues, performance problems, and code-quality concerns. Sends fixes back to the builder if needed.
input: PR output: approval review: human gate
Ships to staging. Runs end-to-end tests. Promotes to production if green. Sets up monitoring. Alerts a human if anything looks wrong.
input: approved PR output: production review: alerts
Why a small team can build at parent-company scale.
Four properties of the system, each compounding on the others.
Parallel work
Twelve verticals can ship at the same time because each has its own pipeline running in parallel. Humans review and approve.
Compounding speed
The platform learns from every shipped product. The thirteenth vertical will be faster than the twelfth.
Consistent quality
Every line of code goes through the same review chain. No "tired engineer at midnight" exceptions.
Real economics
Software that used to require a team of 30 can be shipped by a team of 6. We pass that economics on to partners.
We are opening Xwits Engineering to a small set of partners.
We use this platform internally to ship XWorks. We are now in conversation with a small group of partners about productized access — for companies that want to build software faster than they can hire engineers, without giving up code quality or security.
Established software companies
Hitting an engineering wall. Backlog growing faster than the team can ship.
Consultancies
Wanting to multiply delivery capacity without hiring a hundred engineers.
Investors & portfolios
Looking to scale portfolio companies efficiently across a portfolio.
Regulated teams
Shipping in regulated industries that need consistent quality and audit trails.
A custom workspace with your codebase, your standards, your reviewers, and a dedicated support engineer. We do not lock you in. We do not own your IP. You can leave any time.
Build faster, with the same quality.
Talk to us about Xwits Engineering. Partnerships start at custom pricing.