agentic-software-engineering

Runnable demo of harness and loop engineering for AI-assisted software development — context, verification, review, feedback, and evidence around coding agents.

Production-oriented software engineering workflow using coding agents, durable orchestration, and local LLMs.

Execution harness for AI software engineering: humans own intent and semantic boundaries; agents own execution and verification.

Policy and assurance layer for AI-assisted software engineering — turning engineering rules into executable obligations, evidence, and release readiness.

Demo of packaging engineering practices as portable Agent Plugins — with a reusable architecture-review skill for AI coding agents.

Reproducible demo connecting repository knowledge, agent guidance, and deterministic checks for more reliable coding-agent changes.

Control plane for AI-assisted software development — orchestrating repository context, coding workflows, GitHub operations, verification, and human controls.

Intent Engineering for Coding Agents: structure, specs, and proof for agentic software engineering. A practical guide for senior devs using coding agents.

Corpus, executable oracles, analysis and linter for 'Specifying the Machine Team: An Empirical Study of Subagent Definitions in Agentic Software Development' - 50,011 subagent specifications from 3,008 public repositories

Agentic Software Engineering Harness