Why AI Coding Has Split Software Engineers Into Two Camps
Why AI coding divides engineers less on capability than on trust, identity, incentives, and what they think the job really is.
Why AI coding divides engineers less on capability than on trust, identity, incentives, and what they think the job really is.
How to adapt the Ralph Wiggum loop pattern popularised in Claude Code to Codex using repeatable, bounded non-interactive runs.
Why many teams use agile tooling and ceremonies but still deliver in large, slow, phase-gated batches, and how to get back to real fast-feedback delivery.
Go beyond the basics with panes, copy mode, synchronised input, and shared tmux sessions.
How remote work made voice-first coding practical for me, where it breaks down in open offices, and why I still review every transcribed prompt before sending it.
Use Lefthook to version, share, and speed up Git hooks so checks run consistently for every developer.
A practical look at which AI tools I adopted from late 2021 to early 2026 and what changed my day-to-day coding.
Use Git worktrees to run multiple AI coding tasks on one repository without branch-switch friction.