{"slug": "run-ai-code-reviews-for-the-cost-of-a-5-vps-no-per-seat-saas-required", "title": "Run AI Code Reviews for the Cost of a $5 VPS — No Per-Seat SaaS Required", "summary": "A developer released AI-Git-Bot, an MIT-licensed, self-hosted workflow automation bot that reviews pull requests, generates unit and Playwright tests, triages issues, and syncs documentation using a locally run 7B open-weight coder model via Ollama. The project, published as a multi-arch Docker image and self-pulled over 16,000 times on Docker Hub, is positioned as an alternative to per-seat AI code review SaaS such as Copilot and CodeRabbit, running on a small VPS or existing hardware with no API keys or per-token billing.", "body_md": "A self-hosted AI workflow automation bot that reviews pull requests, generates\n\ntests, and keeps docs in sync — powered by a 7B model you already own, on\n\nhardware you already run.\n\n**TL;DR:** AI code review SaaS pricing scales per developer, per month, and your\n\nsource code goes to someone else's cloud. The setup in this post runs the same\n\nclass of workflow entirely self-hosted: one Docker container, one Ollama\n\nservice, and a ~4.7 GB open-weight coder model. Total incremental cost: a small\n\nVPS or a machine you already have. The project behind this post,\n\n[AI-Git-Bot](https://github.com/tmseidel/ai-git-bot), has been\n\n[self-pulled from Docker Hub over 16,000 times](https://hub.docker.com/r/tmseidel/ai-git-bot)\n\nand is MIT licensed.\n\nBy now most of us have the invoice: Copilot at $10–39/seat/month, CodeRabbit and\n\nsimilar review SaaS at per-PR or per-seat tiers, enterprise tiers on top.\n\nMultiply that by a 15-person team and you're at several thousand dollars a\n\nmonth — before a single review is useful.\n\nTwo things about that model bother me:\n\nYou don't have to accept either of those. Local open-weight models have been\n\ngenuinely good at code review for over a year now, and the missing piece was\n\nnever the model — it was the **workflow glue**: turning \"a PR was opened\" into\n\n\"reviewed, findings posted, tests generated, docs updated, automatically, on\n\nevery platform we use.\"\n\nThat's the gap AI-Git-Bot fills.\n\nAI-Git-Bot is a self-hosted bot that lives inside your Git platform — Gitea,\n\nGitHub/GitHub Enterprise, GitLab, or Bitbucket Cloud — and reacts to events you\n\nalready emit:\n\n| Workflow | Trigger | Result | \n|---|---|---|\n| PR review | PR opened / re-requested | Summary + inline findings on the diff | \n| Interactive Q&A | `@bot` mention in a PR comment | Context-aware answer in-thread | \n| Unit test generation | PR opened | Regression tests committed to the branch | \n| E2E / Full-Stack QA | PR opened | Playwright suite run against a preview, results posted | \n| Issue triage & routing | Issue opened/assigned | One assignee chosen, reason posted | \n| Issue → Pull request | Issue assigned to the coding agent | Implementation PR opened | \n| README / docs sync | PR opened | Docs updated to match code | \n| i18n coverage | PR opened | Missing translations drafted across locale files | \n\nNo browser extension, no Slack bot to babysit, no new process. Developers just\n\nsee the bot's comments where they already look.\n\nThe whole thing is two containers.\n\n```\nservices:\n  app:\n    image: tmseidel/ai-git-bot:latest\n    ports:\n      - \"8080:8080\"\n    environment:\n      SPRING_PROFILES_ACTIVE: docker\n      DATABASE_URL: jdbc:postgresql://db:5432/giteabot\n      DATABASE_USERNAME: giteabot\n      DATABASE_PASSWORD: change-me\n      APP_ENCRYPTION_KEY: your-secure-encryption-key-here\n    depends_on:\n      db:\n        condition: service_healthy\n    restart: unless-stopped\n\n  db:\n    image: postgres:17-alpine\n    environment:\n      POSTGRES_DB: giteabot\n      POSTGRES_USER: giteabot\n      POSTGRES_PASSWORD: change-me\n    restart: unless-stopped\n\n  ollama:\n    image: ollama/ollama:latest\n    ports:\n      - \"11434:11434\"\n    volumes:\n      - ollama_data:/root/.ollama\n    restart: unless-stopped\n\n  ollama-pull:\n    image: ollama/ollama:latest\n    entrypoint: [\"sh\", \"-c\", \"sleep 5 && ollama pull qwen2.5-coder:7b\"]\n    environment:\n      OLLAMA_HOST: http://ollama:11434\n    depends_on:\n      - ollama\n\nvolumes:\n  ollama_data:\n```\n\nThat's it. The image is published as a **multi-arch manifest** (`linux/amd64`\n\nand `linux/arm64`), so the same compose file runs on an x86 VPS, an Apple\n\nSilicon laptop, a Graviton instance, or a 64-bit Raspberry Pi — which matters a\n\nlot if \"low budget\" includes \"the hardware is a Pi in a closet.\"\n\nThen point it at your model. In the web UI: **AI Integrations → New\nIntegration → provider: `ollama` → API URL: `http://ollama:11434` → model:\n`qwen2.5-coder:7b`**. No API keys. No per-token billing. Nothing to export.\n\nThe project ships a ready-to-use compose for exactly this (`systemtest/`), and\n\nthe docs are direct about what local models can and can't do:\n\n| Workload | 7B class | 14–32B class | \n|---|---|---|\n| **PR reviews** (natural-language output) | ✅ works well | ✅ | \n| **Issue-based agents** (require strict JSON) | ❌ unreliable | ⚠️ 32B+ is the sweet spot | \n\nSo the honest, low-budget recipe is:\n\n`qwen2.5-coder:7b` (~4.7 GB)\nor `codellama:7b` run comfortably in 8 GB of RAM, no GPU required, and\nreviews come back in a reasonable time on a small VPS.`qwen2.5-coder:32b` or `deepseek-coder:33b` on a bigger box — or just use a\ncloud provider for that one workflow. The bot mixes providers per-bot, so\nyou can run reviews on Ollama and agent work on Claude if you want.\nThat's the whole \"low budget\" pitch: **you pay for the workflow, not per seat, and the marginal cost of adding a developer is zero.**\n\n`APP_ENCRYPTION_KEY` gives you AES-256-GCM at rest for secrets.\n\n```\ndocker run -p 8080:8080 tmseidel/ai-git-bot:latest\n```\n\nOpen `http://localhost:8080`, create your admin account, wire one AI\n\nintegration (Ollama works), one Git integration, one bot, and the webhook.\n\nThat's the whole setup — it's the path I use for the demo videos in the\n\n[README](https://github.com/tmseidel/ai-git-bot).\n\nIf you get it running on a budget box (especially a Pi or an arm64 VPS), drop\n\na comment or open an issue — real-world hardware reports are the best way to\n\nkeep the docs honest.", "url": "https://wpnews.pro/news/run-ai-code-reviews-for-the-cost-of-a-5-vps-no-per-seat-saas-required", "canonical_source": "https://dev.to/tom_seidel_d47bb467039516/run-ai-code-reviews-for-the-cost-of-a-5-vps-no-per-seat-saas-required-54jp", "published_at": "2026-09-10 13:25:25+00:00", "updated_at": "2026-09-10 13:35:05.440948+00:00", "lang": "en", "topics": ["ai-tools", "developer-tools", "ai-agents", "large-language-models", "ai-products"], "entities": ["AI-Git-Bot", "Ollama", "Docker Hub", "GitHub", "GitLab", "Gitea", "Bitbucket", "qwen2.5-coder:7b"], "alternates": {"html": "https://wpnews.pro/news/run-ai-code-reviews-for-the-cost-of-a-5-vps-no-per-seat-saas-required", "markdown": "https://wpnews.pro/news/run-ai-code-reviews-for-the-cost-of-a-5-vps-no-per-seat-saas-required.md", "text": "https://wpnews.pro/news/run-ai-code-reviews-for-the-cost-of-a-5-vps-no-per-seat-saas-required.txt", "jsonld": "https://wpnews.pro/news/run-ai-code-reviews-for-the-cost-of-a-5-vps-no-per-seat-saas-required.jsonld"}}