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GitHub - landry-77/AI-DEVOPS-ENGINE: Autonomous AI DevOps pipeline with air-gapped sandboxing, zero-data-retention LLM routing, PostgreSQL RLS multi-tenancy, and pluggable billing. Self-hosted, open-source, one docker-compose command.
landry-77 · 2026-06-24 · via Hacker News - Newest: "AI"

License: Apache 2.0 Python 3.11+ Node.js 18+ Docker

An autonomous, zero-data-retention AI DevOps pipeline that ingests GitHub webhooks, constructs code patches via LLM, runs them in network-isolated Docker sandboxes (Pytest/Jest), and posts validated fixes as PR comments for your review — all self-hosted with one docker compose command.

  • No SaaS fees — you only pay the AI provider directly for tokens used
  • Zero data retention — code scrubbed in memory, destroyed after inference
  • Network-isolated sandbox — patches run in network-isolated, resource-throttled containers
  • Multi-tenant — PostgreSQL Row-Level Security isolates tenants at the database engine level

Quickstart (from zero to running in ~2 minutes)

Prerequisites

  • Docker & Docker Compose (v2+)
  • Python 3.11+, Node.js 18+
  • OpenRouter API key — free tier works
  • ngrok — free tier, exposes your local webhook to GitHub

Fast Path (3 commands)

macOS / Linux:

# 1. Auto-generate secrets, prompt for your OpenRouter key
make setup

# 2. Pre-bake sandbox images (one-time)
make sandbox

# 3. Launch the full stack
make up

Windows (PowerShell):

# 1. Auto-generate secrets, prompt for your OpenRouter key
.\setup.ps1 setup

# 2. Pre-bake sandbox images (one-time)
.\setup.ps1 sandbox

# 3. Launch the full stack
.\setup.ps1 up

Dashboard: http://localhost:8000 · Gateway: http://localhost:3000

Then expose your webhook and open a PR:

# 4. Expose via ngrok (separate terminal)
ngrok http http://localhost:3000

# 5. Open any PR on your repo — the engine handles the rest

Detailed Setup (for first-time configuration)

1. Configure Environment

make setup copies .env.example → .env, generates secure random values for DJANGO_SECRET_KEY and FERNET_KEY, then prompts for your OpenRouter key. After that, set two more values manually:

Variable What to put Required
GITHUB_APP_IDENTIFIER GitHub App ID number Yes
GITHUB_WEBHOOK_SECRET Webhook secret you set in GitHub App settings Yes

Place the GitHub App .pem file at certs/github_app.pem.

2. Create a GitHub App

  1. GitHub Settings → Developer settings → GitHub Apps → New GitHub App
  2. Settings:
    • GitHub App name: ai-devops-bot
    • Homepage URL: http://localhost:3000
    • Webhook URL: https://<your-ngrok-id>.ngrok-free.app/webhooks/github
    • Webhook secret: pick a random string → set as GITHUB_WEBHOOK_SECRET in .env
    • Permissions: Contents: Write, Pull requests: Read & Write, Checks: Write, Metadata: Read
    • Events: Pull request, Push
  3. Generate a private key → save as certs/github_app.pem
  4. Copy the App ID → set as GITHUB_APP_IDENTIFIER in .env
  5. Install the app on a repo

3. Pre-Bake & Launch

make sandbox   # build local-pytest-sandbox + local-jest-sandbox images
make up        # docker compose up -d

4. Test with a Curl

Or manually:

WEBHOOK_SECRET="${GITHUB_WEBHOOK_SECRET?}"
payload='{"action":"opened","pull_request":{"number":1},"repository":{"id":101,"full_name":"local-org/test-repo","clone_url":"local_vfs"},"installation":{"id":202}}'
sig=$(printf '%s' "$payload" | openssl dgst -sha256 -hmac "$WEBHOOK_SECRET" | awk '{print $NF}')
curl -X POST http://localhost:3000/webhooks/github \
  -H "Content-Type: application/json" \
  -H "x-github-event: pull_request" \
  -H "x-hub-signature-256: sha256=$sig" \
  -d "$payload"

How It Works

When a PR is opened on your repo:

  1. GitHub sends a webhook → gateway verifies HMAC signature
  2. Gateway filters to default branch → enqueues task in Redis
  3. Celery worker picks up → AI engine scrubs secrets → calls OpenRouter
  4. Generated patch runs in network-isolated Docker sandbox (Pytest/Jest)
  5. On test pass: bot posts the fix as a PR comment for your review
  6. Dashboard logs every step at http://localhost:8000

Optional CLI

chmod +x infra/patch-bot.sh
alias patch-bot=./infra/patch-bot.sh
patch-bot my_app/main.py "pagination breaks when page number exceeds total pages"

Architecture

graph TB
    classDef external fill:#2da44e,color:#fff,stroke:#1a7f37
    classDef cloud fill:#6366f1,color:#fff,stroke:#4f46e5
    classDef gateway fill:#0ea5e9,color:#fff,stroke:#0284c7
    classDef queue fill:#f59e0b,color:#fff,stroke:#d97706
    classDef worker fill:#8b5cf6,color:#fff,stroke:#7c3aed
    classDef brain fill:#ec4899,color:#fff,stroke:#db2777
    classDef sandbox fill:#e17055,color:#fff,stroke:#d35400
    classDef dashboard fill:#14b8a6,color:#fff,stroke:#0d9488
    classDef db fill:#64748b,color:#fff,stroke:#475569
    classDef billing fill:#f43f5e,color:#fff,stroke:#e11d48

    subgraph External["☁️ External Services"]
        GH["GitHub Repo<br/>Push / PR Events"]
        OR["OpenRouter API<br/>GPT-4o-mini"]
    end

    subgraph Proxy["🚀 Reverse Proxy (Caddy) :80"]
        CADDY["Caddy Proxy<br/>Routes: /webhooks/* → Gateway<br/>/* → Dashboard"]
    end

    subgraph Ingest["📡 Ingestion Gateway :3000"]
        GW["Express.js Ingestion Service<br/>HMAC Signature Verify<br/>Branch Filtration Logic"]
    end

    subgraph Broker["📬 Message Broker"]
        REDIS[(Redis Queue<br/>Celery Broker + Backend)]
    end

    subgraph Workers["⚙️ Task Workers"]
        CELERY["Celery Worker<br/>Process Remediation Tasks"]
        BEAT["Celery Beat<br/>Scheduled Cron Jobs"]
    end

    subgraph AIEngine["🧠 AI Engine :8010"]
        BRAIN["FastAPI Core Brain<br/>Orchestration Layer"]
        SCRUBBER["🔒 Secret Scrubber<br/>In-Memory Regex Redaction<br/>AWS Keys / GH Tokens / DB Creds"]
        AI_INF["OpenRouter Inference<br/>Zero-Data-Retention<br/>Code Analysis + Patch Gen"]
        HANDLER["GitHub API Handler<br/>Post PR Comments"]
    end

    subgraph Sandbox["🛡️ Network-Isolated Sandbox"]
        SBX["Docker Sandbox Container<br/>No Network · 512MB RAM<br/>Read-Only Mount"]
        PYT["Pytest / Jest Execution<br/>Test Suite Validation"]
    end

    subgraph Dashboard["📊 Django Dashboard :8000"]
        DJANGO["Django 6 + Daphne ASGI<br/>Web UI / Admin"]
        POLL["Live Status Polling API<br/>/api/v1/logs-stream/"]
        UI["Execution Logs Cards<br/>Auto-Refresh Every 5s"]
    end

    subgraph Storage["💾 Database Layer"]
        PG[("PostgreSQL<br/>Multi-Tenant")]
        RLS["🔐 Row-Level Security<br/>Tenant Isolation at DB Engine"]
        AUDIT["Audit Logs<br/>Zero Data Retention Policy"]
    end

    subgraph Billing["💰 Billing"]
        BC["Billing Collector<br/>Usage Metering"]
        STRIPE["Stripe / Manual<br/>Cost Forecasting"]
    end

    GH -- "Webhook: Push / Pull Request" --> NGROK[ngrok Tunnel]
    NGROK --> CADDY
    CADDY -- "/webhooks/github" --> GW
    CADDY -- "/*" --> DJANGO

    GW -- "HMAC Verify" --> HMAC_OK{Valid Signature?}
    HMAC_OK -- "✅ Yes" --> FILTER{Default Branch?}
    HMAC_OK -- "❌ No → 401" --> ERR[Rejected]
    FILTER -- "✅ main" --> REDIS
    FILTER -- "❌ feature branch" --> FILT_LOG["[Filtration] Skipped — not default branch"]

    REDIS -- "Tasks" --> CELERY
    REDIS -- "Schedule" --> BEAT

    CELERY -- "POST /api/v1/verify-infrastructure" --> BRAIN
    BRAIN --> SCRUBBER
    SCRUBBER -- "Compliance Alert: Intercepted & Scrubbed" --> LOG_SCRUB[Logged]
    SCRUBBER --> AI_INF
    AI_INF --> OR
    AI_INF --> BRAIN

    BRAIN -- "Generate Patch" --> SBX
    SBX --> PYT
    PYT -- "exit_code=0 ✅" --> HANDLER
    PYT -- "exit_code≠0 ❌" --> HANDLER
    HANDLER -- "Post PR Comment" --> GH

    DJANGO --> POLL
    POLL --> UI
    UI --> PG

    BEAT --> BC
    BC --> PG
    BC --> STRIPE

    PG --> RLS
    PG --> AUDIT

    class GH,OR external
    class CADDY cloud
    class GW,NGROK gateway
    class REDIS queue
    class CELERY,BEAT worker
    class BRAIN,SCRUBBER,AI_INF,HANDLER brain
    class SBX,PYT sandbox
    class DJANGO,POLL,UI dashboard
    class PG,RLS,AUDIT db
    class BC,STRIPE billing
Loading

Services

Service Technology Role
ingestion-service Node.js + Express GitHub webhook receiver, path filtering, task queuing
core-brain FastAPI + Celery AI orchestration, secret scrubbing, Docker sandbox control
django-dashboard Django 6 + Daphne ASGI Web UI, audit logs, multi-tenant admin, billing
sandbox-env Docker (network-isolated) Pre-baked Pytest/Jest images, no network, 512MB RAM cap
billing-collector Python Cost forecasting, usage metering, AWS/GCP poll
redis-broker Redis 7 Celery message queue + result backend

Security

Layer Mechanism
Code storage Zero persistence — PostgreSQL stores only operational metadata, never source code
LLM privacy data_collection: deny on every OpenRouter request — legally blocks training on your code
Secret scrubbing In-memory regex — AWS keys, GH tokens, DB credentials masked before transit
Patch execution Network-isolated Docker — no network access, 512MB RAM / 2 CPU hard limit, no host FS mount
Tenant isolation PostgreSQL RLS — database-enforced row separation, bypasses Django .filter()
Container leaks Background cron — auto-prunes orphaned sandbox containers on execution freeze