AI embedded across the lifecycle, not bolted onto one stage
Plan & Spec
Specs become versioned, living artifacts — "version control for your thinking" — instead of static documents that go stale the moment engineering starts.
Design & Architect
AI-assisted architecture review against your existing patterns and constraints, not generic best practices.
Build
Agent-in-the-loop development: AI handles scaffolding and boilerplate; engineers focus on the logic that actually differentiates the product.
Test & Review
Automated test generation and AI-assisted code review — every AI-authored change still passes through architect review and test gates before merge.
Deploy
AI-assisted release risk analysis and rollback planning built into the pipeline, not assumed away.
Operate
Production monitoring with AI-assisted incident triage, feeding learnings back into the next planning cycle.
Governance is the point, not the tax
The risk with AI-accelerated development isn't speed — it's speed without traceability. Every AI-authored change in our delivery model passes through the same architect review and test gates as human-authored code, with full commit-level traceability. Faster doesn't mean less governed.
Where this connects
AI-Infused PDLC works alongside our QA Automation and Platform Engineering practices — it's the connective layer between how software gets planned, built, and operated.
Why PRVAR
Spec-driven, not vibe-driven — intent is captured and versioned, not lost between a doc and a Slack thread.
Every AI-authored change passes architect review and test gates — no unreviewed code reaches production.
Delivered through our Forward-Deployed model — embedded with your engineering team, not a separate workstream. Learn about our delivery model →