OpenAI's Greg Brockman and Thibault Sottiaux explore the evolution of AI-powered software development, from the first coding sparks in GPT-3 to today's GPT-5 Codex. They detail the concept of the "harness," the rise of agentic coding, breakthroughs in automated code review, and how AI agents capable of running for hours on complex refactoring will reshape the future of engineering.
Amjad Masad, CEO of Replit, outlines a future where AI agents commoditize traditional software, fundamentally reshaping the economy, the nature of work, and how companies are built. He argues that the focus will shift from building applications to solving problems directly, empowering a new class of 'generalist' employees and 'sovereign individuals'.
Experts from a16z, Box, and Microsoft debate the definition and future of AI agents. They explore the shift from monolithic AGI to specialized agent networks, the technical challenges of autonomous systems, and how this new platform will reshape enterprise software, workflows, and the very nature of work.
Sourcegraph CTO Beyang Liu discusses the evolution from chat-based coding assistants to autonomous AI agents like AMP. He explains how new models with tool-use and reasoning capabilities are creating a paradigm shift, moving developers from micromanaging AI to instructing it at a high level, dramatically increasing productivity by automating complex coding tasks.
Marit van Dijk and Hannes Lowette discuss why reading code is a critical, yet underdeveloped, skill for software developers. They explore research-backed strategies like structured code reading clubs, leveraging modern IDEs and AI assistants to comprehend complex codebases, and the importance of empathy in code reviews. The conversation emphasizes using tests as documentation and writing clear commit messages to improve collaboration and long-term maintainability.
OpenAI introduces GPT-5, a significant upgrade focused on expert-level reasoning, agentic capabilities, and real-world utility, particularly for developers and enterprises. The model introduces a new reasoning paradigm, "software on demand" capabilities, and state-of-the-art performance on coding, reasoning, and long-context benchmarks. The launch also includes major updates to the ChatGPT application and a powerful new API for developers.