Your daily AI digest for developers — Wednesday, February 25 2026
A group of sixteen Claude AI agents collaborated to create a new C compiler capable of compiling a Linux kernel. This experiment highlights the potential of AI agents to handle complex coding tasks with human oversight.
The article discusses common pitfalls in multi-agent workflows and presents three engineering patterns to improve their reliability. It emphasizes the importance of structured workflows over mere model capability.
GitHub introduces Agentic Workflows, allowing developers to automate tasks such as triage, documentation, and code quality using coding agents within GitHub Actions. This feature is currently in technical preview.
Continuous AI involves using background agents to perform tasks that require reasoning within a repository. This article explores current capabilities and potential automations developers can implement.
The Ladybird project transitioned to Rust with significant assistance from AI coding agents, showcasing a real-world application of AI in managing complex language migrations.
OpenAI's new GPT‑5.3‑Codex‑Spark model, running on custom hardware, is 15 times faster at coding than its predecessor. This advancement could significantly accelerate AI-driven coding tasks.