Agentic Software Engineering (ASE)

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.

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

The control plane for AI coding agents.

Git-native memory for coding agents. Repo memory before the diff.

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

Professional context and harness engineering for Claude Code and OpenAI Codex. Build production-grade software with spec-driven development, TDD, persistent memory, quality gates, code intelligence, human oversight, and end-to-end verification.

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.