GitHub Copilot reportedly rolling out GPT-5.4 with 1M-token context and native computer control
Treat GPT-5.4 in Copilot as a powerful but experimental agent upgrade—validate at small scale, log everything, and harden guardrails before rollout.
Treat GPT-5.4 in Copilot as a powerful but experimental agent upgrade—validate at small scale, log everything, and harden guardrails before rollout.
Upgrade for safer defaults, but harden Windows workflows now—cleanup steps can nuke more than intended.
Use YARP to safely strangle legacy .NET, let Copilot handle boilerplate, and verify your Azure target before you cut traffic.
Claude Code can now run your prompts on a schedule, making lightweight, reliable agent jobs practical without extra infrastructure.
Use Claude’s new memory import to bootstrap migration from ChatGPT, but engineer for partial retention and real capacity ceilings from day one.
AI IDEs are getting official language support, but stability snags mean you should pilot, pin versions, and harden workflows before scaling usage.
Agent evals just got more realistic—and they say don’t let bots auto‑merge your code yet.
Guardrails beat vibes: ship AI-assisted systems with specs, evaluation, and explainability—or expect bugs in production.
Grok’s real-time answers come from auditable, on-demand tool calls—powerful with X, but only if you design for quotas, privacy, and robust fallbacks.
Oh-my-pi’s agentic commit tool turns messy diffs into clean, conventional commits and ready-to-ship changelogs from the terminal.
AI helps only when you measure the verification tax and pick review tools that actually reduce escaped defects.
True agents put the model in charge of choosing and sequencing tool calls through a guarded loop, not just filling one workflow step.