Full-flow coverage
From GitHub intake to build evidence and PDF reports, the product watches delivery as one system.
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About
The market is moving from hand-written code to AI-assisted delivery. Deep Dev exists to make that shift safer by validating code, builds, previews, logs, dependencies, and architecture before teams ship.
From GitHub intake to build evidence and PDF reports, the product watches delivery as one system.
Multiple reviewers and deterministic checks are normalized into one practical action plan.
Every customer works inside their own organization, data boundary, and usage limits.
AI-generated code still needs production accountability.
Security, code quality, build evidence, previews, and logs belong in one verdict.
Teams should see evidence and next actions, not a pile of disconnected scanner output.
Deterministic findings first, AI synthesis second.
Tenant-scoped data boundaries for repositories, logs, scans, reports, and billing.
Every verdict should explain what happened, why it matters, and what to fix first.
Build Lab
Worker-backed execution
Reports
Client-ready PDFs
Security
Evidence before severity