01
Requirements & Architecture
AI agents gather requirements, draft specs, and propose architecture while humans set goals and approve the system design — no waiting for a finished PRD to start building.
Spec agent · Architecture agent · Risk review
Published delivery model
How we deliver software 4X faster
Renaissa AI Labs publishes a 4X faster and 4X more affordable delivery model versus sequential software agencies. Coordinated AI agents run planning, coding, testing and documentation in parallel, supervised by senior engineers in Baner, Pune. Humans approve architecture, security and production readiness.
How the tracks run together
Humans
- Set product direction and accept risk
- Approve architecture, security and production readiness
- Review consequential writes and customer-facing copy
Agents
- Draft specs, code, tests and documentation in parallel
- Run QA and integration checks continuously
- Propose changes; they do not ship without a human gate
Four tracks, in parallel
Central AI Orchestrator: Assigns tasks, coordinates agents across every track, and validates outputs — so planning, build, QA, and deploy move together instead of in a relay.
02
Parallel AI Sprints
Specialized coding agents implement features across modules at the same time. The orchestrator assigns work, resolves conflicts, and keeps the codebase coherent.
Feature agents · API agents · UI agents
03
Automated QA & Validation
Tests, security checks, and reviews run continuously — not as a final bottleneck. Every output is validated before it merges into the delivery track.
Test agents · Security scan · Code review
04
Deploy & Iterate
CI/CD with AI-validated release gates pushes to production. Monitoring feeds the next cycle so improvements land without restarting a sequential pipeline.
Release agent · Observability · Feedback loop
The 4X faster and 4X more affordable figures are the published delivery model versus a sequential software agency. Humans still approve architecture, security and production readiness.
Longer write-ups: Why delivery is parallel, not sequential and the architecture behind the 4X claim.
How we measure 4X
A measured sample is not published yet. Treat 4X as the published model, not a measured benchmark.
| Metric | Sequential baseline | Our measurement | Source |
|---|---|---|---|
| Calendar time to first production slice | Not published | Not published | Not published |
| Fully loaded delivery cost for the same scope | Not published | Not published | Not published |
| Sample size and date range | Not published | Not published | Not published |
Method questions
What does 4X faster mean?
It is the published delivery model versus a sequential agency: parallel tracks instead of a relay. A measured sample is not published on this page.
Do agents ship to production on their own?
No. Humans approve architecture, security and production readiness. Agents execute across tracks.
Where can I read the long form?
See /blog/ai-orchestrated-sdlc-future-of-software-development and /blog/4x-faster-development-how-we-do-it.