Autonomous software engineering fleet of AI agents for production-grade PRs on AgentField: plan, code, test, and ship.

AI agents now operate with authority. Authority without discipline is how complex systems fail. Nuclear’s control loop, ported to AI-assisted software engineering.

The semantic layer for software engineering: Connect code to meaning, build on understanding

A memory layer for AI Agents

Reusable agent skills for end-to-end software delivery, from requirements and implementation to review, testing, and release.

Turn any repo into an agent-ready workspace for Claude Code, Codex, Cursor, and other coding agents.

Comprehensive sets of standards and practices designed to elevate the capabilities of AI coding agents.

Production-grade Agent Skills for AI coding agents—composable workflows for planning, TDD, debugging, review, UI/UX, releases, incidents, and evals.

Agent Skills for traceable requirements, independent verification, human approval gates, and auditable AI-assisted engineering. Supports Claude Code, Cursor, VS Code, and GitHub Copilot; ISO 9001/27001 aligned (design phase), GxP-aware.

Spec-driven development workflow for AI coding agents: architecture-first planning, task decomposition, GitHub Issue/PR tracking, Deep Discuss, and adaptive control for Claude Code, Codex, Cursor, and other Markdown-capable agents.