An engineer describes the shift from 2025 to 2026, where AI agents are now reliable enough to write entire PRs, diagnose most bugs, and handle testing and setup tasks. He avoids using LLMs for public communication like PR descriptions or Slack messages, and emphasizes finding the right balance between over- and under-utilizing agents.
VeilGate is a deception reverse proxy that uses scoring and tarpits to defend against autonomous AI pentesting agents, unlike traditional WAFs that reveal weaknesses through block responses.
InsForge is an open-source backend platform (Apache 2.0) for AI coding agents to deploy, operate, and debug via CLI and Skills. It includes auth, databases, hosting, cron jobs, and safety features like backend branching, telemetry, and a debug agent.
Valgrind 3.27.1 has been released as a minor point update addressing a regression introduced in version 3.27. The release fixes issues including the "--fair-sched=yes" option not working and Valgrind incorrectly unpacking sys_port results, which caused significant delays.
A staff engineer reflects on their practical use of LLMs in 2026, describing them as a helpful tool for code generation, refactoring, and documentation, while emphasizing the importance of human judgment in reviewing and adapting AI-generated output.
The author, a staff engineer, describes using LLMs primarily as a code review tool and for generating boilerplate code, while emphasizing that LLMs are not yet reliable for complex architectural decisions or writing production-ready code without careful human oversight. They find the most value in using LLMs to quickly get feedback on design documents and to automate tedious coding tasks.