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Agentic Software Engineering (ASE): Agentic AI Coding Meets Software Engineering

ASE.TOOLS introduces Agentic Software Engineering (ASE), a framework that combines agentic AI coding with traditional software engineering practices. The platform enables AI agents to autonomously write, test, and manage code while integrating with engineering workflows for building production-ready software.

Background

- **Agentic Software Engineering (ASE)** is an emerging field that combines LLM-based "coding agents" (like GitHub Copilot, Cursor, Devin) with formal software engineering practices — version control, testing, debugging, code review, and deployment. - It goes beyond AI code completion: agents autonomously plan, write, test, and fix multi-file codebases, handling entire tasks or pull requests. - The site ase.tools is a portal tracking tools, research, and benchmarks in this space, signaling a shift from chat-based assistants toward self-directed software engineering agents. - Major companies (Anthropic, OpenAI, GitHub, Google) are racing to release agents that navigate real codebases, run terminal commands, and manage git workflows. - Why it matters: If ASE matures, it could fundamentally change how software is built — reducing manual coding work while raising questions about code quality, security, and the human developer's role.

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