Autonomous Software Development Platform
An AI-powered system that watches for tasks and dispatches agents to implement them automatically through the complete software development lifecycle.
Agentic Server transforms how software gets built. Instead of manually writing code for every issue, you describe what needs to happen — and autonomous agents handle the implementation.
Label a GitHub issue agentic. Walk away. Come back to a pull request ready for review.
┌─────────────────┐ ┌──────────────────┐ ┌─────────────────┐
│ TRIGGERS │────▶│ WORKFLOWS │────▶│ AGENTS │
│ │ │ │ │ │
│ • GitHub Issues │ │ • Full SDLC │ │ • Isolated │
│ • Webhooks │ │ • Quick Patch │ │ git worktrees │
│ • Notion Tasks │ │ • Multi-repo │ │ • Parallel work │
│ • Polling │ │ • Scout Scan │ │ • Auto-commit │
└─────────────────┘ └──────────────────┘ └─────────────────┘
│
▼
┌─────────────────┐
│ OUTPUT │
│ │
│ • Branch + PR │
│ • Tests │
│ • Documentation │
│ • CI/CD handoff │
└─────────────────┘
Label any GitHub issue with agentic and the system picks it up. No manual intervention required.
Plan → Build → Test → Review → Document → Ship
Each phase is handled by specialized agents that understand their role in the pipeline.
Agents work in their own git worktrees. Multiple agents can work on the same repo simultaneously without stepping on each other.
Configure external repositories in registry.yaml. Agents can work across your entire project ecosystem.
When multiple issues touch the same area of code, the system queues them intelligently to prevent merge conflicts.
Proactive analysis mode that scans codebases for:
- Security vulnerabilities
- Code quality issues
- Missing test coverage
- Documentation gaps
Scout creates issues for what it finds — which other agents can then fix.
The platform dogfoods itself. It creates issues for its own improvements and implements the fixes. The system that builds software... builds itself.
Watches for work via multiple channels:
- GitHub Webhooks — Real-time issue and PR events
- Notion Integration — Task database monitoring
- Polling — Scheduled checks for systems without webhooks
Routes tasks to appropriate execution patterns:
- Full SDLC — Complete implementation cycle
- Quick Patch — Fast fixes for simple issues
- Multi-repo — Coordinated changes across repositories
- Scout — Proactive codebase analysis
Each agent instance:
- Gets its own git worktree (isolation)
- Has access to configured tools and APIs
- Follows workflow-specific instructions
- Commits, pushes, and creates PRs autonomously
Git is the universal interface:
- Branches capture agent work
- PRs enable human review
- Existing CI/CD handles deployment
- Full audit trail via commit history
This isn't about replacing developers. It's about changing what developers spend time on.
Before: You write the code, you write the tests, you write the docs, you handle the PR ceremony.
After: You describe the outcome, review the result, make high-level decisions. Agents handle the implementation details.
One well-written issue becomes a complete implementation.
One Scout scan becomes dozens of actionable improvements.
One architectural decision propagates across all your projects.
You're the tech lead. Agents are your team.
🟢 In Production — Actively used for development across multiple private repositories.
Jarrett Vick
- Website: jarrettvick.com
- GitHub: @jcrypt1
- Email: vickjarrett@outlook.com
This repository contains documentation only. Source code is maintained privately.