Code generation

Build Hour: GPT-5

Build Hour: GPT-5

OpenAI's Build Hour provides a deep dive into GPT-5, showcasing its advanced coding and agentic capabilities. The session covers the new Responses API, critical for leveraging the model's reasoning, along with new parameters for steerability and practical prompting techniques for building complex, reliable applications.

OpenAI dropped GPT-5, is AGI here?

OpenAI dropped GPT-5, is AGI here?

In this analysis, experts Bryan Casey, Mihai Criveti, and Chris Hay dissect the OpenAI GPT-5 release, comparing its capabilities against Anthropic's Claude Opus 4.1. While GPT-5 introduces significant improvements in accessibility, agentic capabilities, and reliability, the consensus is that it does not yet dethrone Claude as the daily driver for developers due to key differences in user experience and workflow management.

Vibe Coding with Confidence — Itamar Friedman, Qodo

Vibe Coding with Confidence — Itamar Friedman, Qodo

Itamar Friedman of Qodo argues that the future of AI in software development lies in moving beyond simple code generation to 'vibe coding with confidence.' This is achieved through multi-agent workflows, grounded in team standards and orchestrated via the Command Line Interface (CLI), enabling a holistic AI-driven approach across the entire SDLC.

AI Coding Agents Change Software Development Forever

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.

Safety and security for code executing agents — Fouad Matin, OpenAI (Codex, Agent Robustness)

Safety and security for code executing agents — Fouad Matin, OpenAI (Codex, Agent Robustness)

Fouad Matin from OpenAI's Agent Robustness and Control team discusses the critical safety and security challenges of code-executing AI agents. He explores the shift from models that *can* execute code to defining what they *should* be allowed to do, presenting practical safeguards like sandboxing, network control, and human review, drawing from OpenAI's experience building Code Interpreter and the open-source Code Interpreter CLI.

Piloting agents in GitHub Copilot - Christopher Harrison, Microsoft

Piloting agents in GitHub Copilot - Christopher Harrison, Microsoft

GitHub's Christopher Harrison explains how to leverage GitHub Copilot's agent capabilities. This summary covers using Copilot as an AI pair programmer, the importance of providing context, its different workloads, and how to use the new Copilot Coding Agent with the Model Context Protocol (MCP) to accelerate development responsibly.