AI coding tools promise faster development, but their effectiveness depends on more than the underlying model. They need a reliable harness: clear instructions, relevant context, appropriate tools, automated checks, and fast feedback loops.
This session presents a practical, tool-agnostic approach to integrating AI into software development. We will explore how to configure an AI harness using repository guidelines, reusable workflows, architecture constraints, tests, and static analysis. We will also discuss which tasks to delegate, how to provide focused context, and where human judgment remains essential.
Attendees will leave with a blueprint for turning AI from an unpredictable coding assistant into a dependable development partner.
Key Takeaways
- Reliable Agent Harness: Learn how to setup a reliable Agent Harness for faster, consistent, and predictable software development using AI.
- Context & Constraints: Discover how to define repository guidelines, architecture constraints, and automated checks to ground AI models.
- Effective Delegation: Understand which engineering tasks to delegate to AI coding assistants and where human judgment remains critical.
Target Audience
- Software Developers and Software Architects looking to integrate AI coding assistants effectively into their day-to-day development workflow.
Prerequisites
- Familiarity with programming and basic AI concepts.
