Engineering & DevOps
Autonomous AI Software Engineering & DevOps Platform
m10 closeout ALL_PASSED
Repo RAG, multi-agent PR/CI/bug/deploy workflows, MCP allowlists, HITL, and sandbox proof.
M0–M10 complete · API 1.0.0
The problem
Teams lose days to weak PR review, flaky CI RCA, ungrounded code chat, and ungated deploys.
Weak PR review loops
Slow feedback and inconsistent standards.
Flaky CI RCA
Same failures re-investigated manually.
Ungrounded code chat
LLMs invent APIs and file paths.
Ungated deploys
Merges/deploys without HITL or sandbox proof.
Unsafe agent actions
Tools without allowlists or audit.
The solution
FastAPI owns RAG/agents/HITL/sandbox; n8n owns CI/notify wrappers — merges/deploys never skip approval.
Production engineering automation: grounded code chat, PR/CI agents, and gated deploys with sandbox proof — not a chatbot bolted to a repo.
Repo index + RAG
Grounded answers over code and docs.
Multi-agent SDLC
PR, CI, bug, incident, deploy, test-gen, docs agents.
MCP allowlists
Audited tool use only.
HITL + sandbox
Deploy/merge require proof and approval.
Eval + learning
Scorecards and override learning loops.
Repo/CI events → FastAPI agents + RAG/MCP → HITL/sandbox → n8n notify → dashboard/eval
Before → After
Architecture
Delivery
Milestone narrative from kickoff through closeout — all gates met.
| ID | Theme | Unlocked |
|---|---|---|
| M0–M1 | Architecture + skeleton | Compose stack, schema, FastAPI, n8n, health |
| M2–M3 | Core intelligence | Orchestrator/agents, RAG, primary integrations |
| M4–M5 | Reliability + HITL | Approvals, DLQ, audit, Phase 1 gate |
| M6–M7 | Depth + Phase 2 | Secondary channels/agents, Phase 2 regression |
| M8–M9 | Dashboard + scale | Ops UI RBAC, eval, observability, adapters |
| M10 | Closeout | Docs, UAT/smoke, KT pack, deliverables |
Proof
Verified on local Docker dry-run — no invented client metrics.
m10 closeout
ALL_PASSED
Smoke pack
Unauthorized actions
0
Allowlists enforced
Approval
100%
Gated merges/deploys
API
1.0.0
AISE release
Stack
- FastAPI
- n8n
- Postgres
- Redis
- Qdrant
- MCP
- Caddy
- Docker Compose
Want a system like this?
We build production AI ops platforms — multi-agent orchestration, RAG, CRM, and reliable automation — not one-off chatbot demos.