Sentinel

What is Sentinel?

Sentinel vs Similar AI Tools

	Sentinel	Relay Studio	Hubo	Sentinel
Pricing Model	Free	Free	Free	Free
Free Credits
Key Features	Code review agent that analyzes git diffs and posts findings (read-only) Documentation sync agent that updates Markdown docs to match code via PRs (docs-only, never auto-merges) Autonomous QA testing agent that understands product from code and executes end-to-end flows with backend assertions	Specification Wizard with brainstorming and file tagging Kanban board with drag-and-drop task management Agent loop with three build modes (Pause for Review, Auto-Pilot, Continuous)	Two-agent adversarial code review (work agent and review agent) Reconciliation loop until all findings are resolved or escalated to human Supports multiple CLI hosts: Claude Code, Codex, GitHub Copilot CLI, OpenClaw, skills.sh	Reads repository structure without model calls (grep+find) to extract routes, services, and entities Derives prioritized end-to-end business flows from code analysis Runs each flow as an agent loop with Playwright browser driving and backend API assertions via token reuse
Pros	Requires no manual test writing — QA agent derives flows from code Deep autonomous testing with frontend and backend assertions	Combines planning, development, and review in one interface Supports multiple AI engines (Claude Code, OpenAI Codex, Anthropic API)	Reduces code review blind spots through adversarial process Explicit invocation keeps normal workflow unaffected	Open source and self-hosted, no vendor lock-in Automatically understands application logic from code, not just UI
Cons	Requires setup of multiple dependencies (Node.js, Playwright, CLI tools) Agent-based testing can be non-deterministic and slower than scripted tests	Requires separate API keys and incurs API usage costs Only supports Claude Code, OpenAI Codex, and direct Anthropic API (not all models)	Requires setup and installation per CLI environment Two-agent loop may increase response time for complex tasks	Requires manual setup of environment and dependencies Not a hosted SaaS; operator must manage infrastructure
Best For	Developers and teams wanting automated, continuous code review and testing QA engineers looking to reduce manual test script maintenance	Developers who want to automate coding with AI while maintaining human review Teams integrating AI code generation into a structured workflow	Developers using AI coding assistants Teams wanting automated thorough code review	Development teams needing automated end-to-end QA without writing test scripts Projects with complex business flows where UI-only testing misses backend state bugs

How to use Sentinel?

1. 1Clone the repository: git clone https://github.com/Simbastack-hq/sentinel.git.
2. 2Install dependencies: npm install and cd pi-ext/qa-browser && npm install.
3. 3Copy configuration files: cp config/sentinel.env.example config/sentinel.env and cp config/targets.json.example config/targets.json.
4. 4Set up credentials and targets in the config files.
5. 5Verify setup with: bin/sentinel doctor.
6. 6Run a single agent: bin/sentinel run <target> qa.
7. 7Install the scheduler for 24/7 operation: bin/sentinel install.

Sentinel Key Features

• Code review agent that analyzes git diffs and posts findings (read-only)
• Documentation sync agent that updates Markdown docs to match code via PRs (docs-only, never auto-merges)
• Autonomous QA testing agent that understands product from code and executes end-to-end flows with backend assertions
• Brain-sync agent that distills repository changes into a shared knowledge repo as PRs
• Scheduled execution via launchd or systemd with configurable cadences
• Safety model: sandboxed agents, no direct shell/filesystem access for LLMs, credentials kept out of logs
• Support for testing deployed apps, wallet-gated dApps, and multi-service stacks
• Detailed reports with screenshots, bug lists, and UI/UX grading

Sentinel Use Cases

• Automated code review on every commit without human intervention
• Keeping documentation in sync with evolving codebase
• End-to-end testing of web applications without writing test scripts
• Continuous knowledge distillation across multiple repositories for team awareness

Sentinel Pricing & Free Credits

Sentinel currently operates on a Free model.

Sentinel Pros & Cons

What is Sentinel best for?

• Developers and teams wanting automated, continuous code review and testing
• QA engineers looking to reduce manual test script maintenance
• Open-source projects needing unattended monitoring and documentation sync

Sentinel FAQ