Grounded Backlog, Skills Governance, and Knowledge Graph — the complete orchestration stack for engineering teams using AI agents.
Every AI session tied to a backlog item with acceptance criteria and human approval gates. No random code — only verified work that maps to business outcomes.
Monitor every AI coding session in real time. See what your agents are working on, track progress against acceptance criteria, and get instant visibility into your team's AI-assisted workflow.
Define the quality bar that AI agents must meet before work is considered done. Structured criteria ensure every task has clear, measurable outcomes that map directly to your requirements.
Automatically collect screenshots, test outputs, commit hashes, and logs as verifiable proof that acceptance criteria have been met. Every claim is backed by artifacts you can inspect and audit.
Keep humans in the loop for sensitive operations. Define approval gates that pause AI workflows and require explicit human sign-off before proceeding to production deployments or critical changes.
Maintain context across long-running AI sessions. Checkpoints preserve the state of work so agents can resume exactly where they left off, even across context window boundaries or session restarts.
Centrally managed, versioned skill files that encode how your organisation works. Every AI agent follows the same standards, patterns, and guardrails — no ad-hoc prompt engineering.
Build, share, and reuse AI skills across your organisation. The internal skill library lets teams standardise workflows, codify best practices, and ensure consistent quality across projects.
Ontology-driven structural understanding of your repositories. AI agents know where everything is, how it connects, and what matters — before writing a single line of code.
Chat with AI directly about your repositories. Ask questions about code structure, get explanations of complex logic, and explore your codebase through natural conversation powered by deep structural understanding.
Seamlessly sync your GitHub repositories and track branches in real time. Automatic repo discovery, visibility controls, and branch tracking keep your development workflow connected end-to-end.
Automatically detect and manage the technology stacks across your repositories. Understand what frameworks, languages, and tools your team uses to provide better AI context and more relevant suggestions.
Understand how your team uses AI with metrics that span the entire orchestration stack — session performance, criteria pass rates, skill adoption, and codebase coverage.
Track session duration, completion rates, criteria pass rates, and team performance over time. Detailed analytics help you continuously improve your AI workflow and measure ROI across the entire platform.
aictrl.dev connects to your existing AI coding tools through the MCP protocol, providing a unified orchestration layer without changing your workflow.
Three pillars. One platform. Start shipping your roadmap.