genAIsys
The AI orchestrator that turns your vision into verified, secure, production-ready software — autonomously.
Supervised Autopilot
The autonomous development loop
Seven phases with explicit recovery paths. Set it running overnight — wake up to a clean, reviewed, tested commit history.
Gate Check
Limits & stop signals
Preflight
Environment & state
Step Execution
Spec → Code → Review
Step Outcome
Progress evaluation
Progress Check
Stuck detection
Sleep & Loop
Adaptive backoff
Error Recovery
Exception handler
Plan
Codegen
Format
Tests
Diff
Quality
Arch
Review
Gate Check
Limits & stop signals
Gate Check
Limits & stop signals
Evaluates hard limits before each iteration — token budget, max steps, and external stop signals. If any threshold is exceeded, the loop terminates cleanly.
Security Architecture
AI agents, on a short leash
Three independent security layers ensure agents can never operate unchecked on your codebase.
Safe-Write
- Declared project dirs only
- Path traversal detection
- URL encoding bypass protection
- Symlink escape prevention
Shell-Allowlist
- Explicit command whitelist
- No piping or subshells
- No operator chaining
- Sandboxed execution
Diff-Budget
- Max files per task
- Max lines added/deleted
- Configurable limits
- Restrictive by default
AI Agent
Sandboxed
Security Architecture
AI agents, on a short leash
Three independent security layers ensure agents can never operate unchecked.
AI Agent
Safe-Write
- Declared project dirs only
- Path traversal detection
- URL encoding bypass protection
- Symlink escape prevention
Shell-Allowlist
- Explicit command whitelist
- No piping or subshells
- No operator chaining
- Sandboxed execution
Diff-Budget
- Max files per task
- Max lines added/deleted
- Configurable limits
- Restrictive by default
The Problem
AI generates code fast.
But fast doesn't mean safe.
Without genAIsys
- Unstructured planning wastes hours
- No code review = technical debt
- AI agents run unchecked on your codebase
- Security vulnerabilities slip through
- More cleanup work than actual progress
With genAIsys
- ✓Enforced software lifecycle with invariants
- ✓Mandatory independent review gate
- ✓Sandboxed agents with strict permissions
- ✓Automated security audits & quality gates
- ✓Every line verified before it hits your repo
Agent Orchestra
13 specialized roles.
One orchestrator.
Not a single AI doing everything. Each role has its own system prompt, context, and expertise.
Debug
Tracks down errors systematically, analyzes stack traces, and resolves runtime issues.
Documentation
Generates clear docs, inline comments, and API references from code context.
Strategy
Prioritizes tasks, plans sprints, and optimizes the development roadmap.
Supervisor
Monitors system health, detects anomalies, and ensures agent coordination.
Reflection
Analyzes past decisions, identifies patterns, and improves future performance.
Review
Independent code reviewer that catches bugs, style issues, and logic flaws.
Core
The implementation powerhouse — writes, tests, and iterates on production code.
Architecture
Designs system structure, evaluates trade-offs, and ensures scalability.
Security
Scans for vulnerabilities, enforces policies, and hardens every change.
Audit
Deep analysis with 5 sub-types covering compliance, performance, and quality.
UI
Handles frontend design, component styling, and visual consistency.
Refactoring
Improves code structure, reduces tech debt, and optimizes patterns.
Merge
Resolves conflicts, manages branches, and ensures clean integration.
Architecture
Designs system structure, evaluates trade-offs, and ensures scalability from day one.
Security
Scans for vulnerabilities, enforces security policies, and hardens every change before it reaches production.
Core
The implementation powerhouse.
genAIsys Orchestrator
Routes tasks, enforces policies, manages context
Single Source of Truth
Your project.
Your data.
Everything lives in a .genaisys/ directory inside your repo. Version it, inspect it, port it. No vendor lock-in, no cloud dependency, full transparency.
Core Features
Everything you need.
Nothing you don't.
Non-Bypassable Review Gate
Every AI-generated change is reviewed by an independent agent with fresh context. APPROVE or REQUEST_CHANGES — no exceptions, no bypass.
Security Architecture
Safe-Write restricts file access. Shell-Allowlist blocks dangerous commands. Diff-Budgets limit change scope. Path traversal, symlink escapes, and encoding bypasses — all caught.
Specialized Agent Roles
Not one AI doing everything. Dedicated roles: Core, Architecture, Security, Review, Debug, Audit, Supervisor, Reflection — each with its own system prompt.
Quality Gates
Auto format, lint, and test after every cycle. Adaptive by diff type. Flake retry logic. Supports Dart, Node.js, Python, Rust, Go, Java.
Git Automation
Branch-per-task, auto commit/push/merge after review, configurable merge strategies, inter-loop sync, conflict detection with AI resolution.
Deep-Scan Init
Analyze existing repos: structure, languages, dependencies, test coverage, CI/CD, code metrics. Auto-generate project config from what's already there.
Multi-Provider Support
Claude Code, OpenAI Codex, Google Gemini — first-class. Auto quota rotation, cooldown management, and fallback logic across providers.
Self-Improvement Engine
The reflection layer analyzes run logs, detects recurring rejections, slow tasks, token waste. Generates optimization tasks and auto-tunes parameters.
Rewrite Mode
Rewrite an existing project feature-by-feature into a new architecture or language — with automated parity verification against the original.
Rich Task Model
Tasks carry descriptions, acceptance criteria, affected files, complexity estimates, tags, and dependencies. Optimized for guiding LLM agents precisely.
Full Audit Trail
Every decision, agent call, review, and error logged to RUN_LOG.jsonl with correlation IDs. Replay-capable. GDPR-compliant: no secrets in logs.
Crash-Safe Persistence
Atomic writes with temp-file + rename, CRC32 checksums, schema validation. PID-based locking with liveness checks. Zero data loss on crashes.
The Vision
Start it at night.
Wake up to shipped software.
genAIsys works your entire backlog overnight — optimizing its own productivity, finding and fixing security vulnerabilities, and leaving behind a clean, reviewed, tested commit history.
You define the vision and start the autopilot.
genAIsys picks the first task from the backlog.
Core agent implements, review agent approves, code is merged.
Supervisor detects a flaky test, retries automatically.
Reflection layer optimizes parameters based on run metrics.
You wake up to 12 reviewed, tested commits. Zero intervention.
genAIsys builds itself.
It uses its own workflow to develop itself — a self-improving system that closes the gap between “AI generates code” and “AI delivers verified, secure, documented software.”
Open-Core Beta
Ready to let AI
ship your code?
genAIsys is in open beta. The core engine, review gate, autopilot loop, supervisor, and 26+ CLI commands are ready. No payment, no lock-in.