Ai assisted development

Oct 09, 2026

Generation Is Cheap, Review Is Expensive: How to Stop Shipping AI Slop — Gabriel Martinez, G2i

Gabriel Martinez of G2i argues that slop is not AI-written code but work that looks finished before the thinking behind it is done. He connects it to missing judgment, code as a liability, misaligned incentives that reward merging speed over review, oversized PRs and documents that push understanding onto reviewers, and the case for conventions, diagrams as review surfaces, and small changes. He closes by explaining why G2i built ORC to keep humans in control of agent-generated work.

Jul 11, 2026

From Writing Code to Designing Systems: How the Developer Role is Changing — Chris Noring, Microsoft

This talk introduces a paradigm shift in software development, moving developers from pure code producers to system designers and agent orchestrators. It details a new workflow leveraging GitHub Copilot CLI, custom Copilot agents, and explicit guardrails like `agents.md` and skills. The focus is on how to decompose complex problems, delegate implementation to AI, and encode architectural standards and constraints directly, enabling higher consistency, quality, and accelerated delivery through a "human-in-the-loop" delegation model.

Feb 10, 2026

Handling AI-Generated Code: Challenges & Best Practices • Roman Zhukov & Damian Brady

Roman Zhukov (Red Hat) and Damian Brady (GitHub) explore the evolving landscape of AI-assisted software development, discussing its impact on developer workflows, code quality, security, and the future of developer roles. They emphasize that while AI tools are powerful amplifiers, human oversight remains essential for quality, security, and legal compliance.

Dec 18, 2025

Clean Architecture with Python • Sam Keen & Max Kirchoff • GOTO 2025

Sam Keen discusses his book “Clean Architecture with Python,” explaining how to apply architectural principles in a pragmatic, Pythonic way. The conversation covers thoughtful dependency management, the onion model, and the crucial link between good architecture and testability. Sam also explores how these principles provide a robust foundation for AI-assisted coding by creating well-defined, scoped problems for AI agents, ultimately leading to more maintainable and resilient software.

Aug 05, 2025

AI Coding Agents Change Software Development Forever

A discussion on the promise and limitations of coding agents, covering key challenges like verification and debugging, and exploring how they can support developers through improved abstraction, collaboration, and handling long-term tasks.