Despite the hype about these agents being co-workers, from our experience, these agents tend to work best if you think of them as tools that amplify existing skills, not as the autonomous co-workers the marketing language implies. They can produce impressive drafts fast but still require constant human course-correction. The Frontier launch came just three… Read More »
…and, worth repeating, it all looks exactly how I want it to look and behaves exactly how I want it to behave. Here’s another action shot! The final product. She may not look like much, but she’s got it where it counts, kid. Credit: Lee Hutchinson The final product. She may not look like much,… Read More »
It’s worth noting that both OpenAI and Anthropic open-source their coding CLI clients on GitHub, allowing developers to examine the implementation directly, whereas they don’t do the same for ChatGPT or the Claude web interface. An official look inside the loop Bolin’s post focuses on what he calls “the agent loop,” which is the core… Read More »
This context limit naturally limits the size of a codebase a LLM can process at one time, and if you feed the AI model lots of huge code files (which have to be re-evaluated by the LLM every time you send another response), it can burn up token or usage limits pretty quickly. Tricks of… Read More »
Ed Bayes, a designer on the Codex team, described how the tool has changed his own workflow. Bayes said Codex now integrates with project management tools like Linear and communication platforms like Slack, allowing team members to assign coding tasks directly to the AI agent. “You can add Codex, and you can basically assign issues… Read More »