Stop Asking Humans for Status Updates — In the AI Era, People Should Only Report the Future

Past and present progress is already etched into artifacts, commits, PRs, CI, and observability, and an AI agent can summarize it on demand. If so, there's little point in having humans re-report their progress. The information only humans hold lives on the side of the future, in intent no artifact has captured yet. From the seat of a CTO running a fully remote organization, I take apart the status-update ritual and redesign meetings and reviews around the future.

Should Every Service Ship a Claude Code Plugin? — Rethinking Distribution After codex-plugin-cc

OpenAI's official codex-plugin-cc is genuinely good: I never had to leave Claude Code to drive Codex reviews and investigations. Plugins are working as a distribution channel that delivers a service inside the surface developers already use. Starting from codex-plugin-cc's design, this post discusses which services should ship plugins from day one, and the tradeoffs to weigh before committing.

Accelerating Java and Spring Boot Web App Development with AI Coding Agents — Repository Practices for the Claude Code and Codex Era

The biggest lever for running AI coding agents fast on Java and Spring Boot is not model selection but shaping the repository so the AI cannot misread it. Pin the boundaries with Spring Modulith and hexagonal architecture, enforce them mechanically with ArchUnit and Modulith verify in CI, reproduce databases locally with Testcontainers @ServiceConnection, and expose your running app to AI through the Spring AI 1.1 MCP Server Boot Starter. This post lays out the full setup for AI-native Java and Spring Boot development.