Topics
Most posts here come in series, each one picking up where the last left off. Read a topic from the top.
PDLC and the three engineering paradigms 8 posts
The thinking behind PDLC — prompt, loop and graph engineering, from the concepts to a real project end to end.
- Prompt Engineering, Loop Engineering, Graph Engineering: What Are They? 2026-08-09
- Why Does pdlc-skills Fit All Three Engineering Paradigms So Naturally? 2026-08-13
- How Do the Three Engineering Paradigms Interlock in pdlc-skills? 2026-08-23
- Getting pdlc-skills Running in Your Own Project 2026-08-30
- How pdlc-skills Runs Unattended 2026-08-31
- How pdlc-skills Keeps Quality Up When AI Writes the Code 2026-09-01
- How pdlc-skills Makes Progress, Change Impact, and Quality Trends Visible 2026-09-05
- Running pdlc-skills on a Real Project: Three Features, Start to Release 2026-09-18
Getting more out of AI coding 6 posts
Making AI coding cheaper, faster and less draining — saving tokens, tiering models, parallel agents, worktrees, and where you fit in as the controller.
- Your docs aren't burning your tokens — your tooling is 2026-06-16
- AI coding getting pricier? I cut my tokens by 82% (with real data) 2026-06-17
- AI getting dumber the longer you chat? It's not the model—time to take control 2026-06-18
- Your AI feels slow? Maybe it's not dumb—you're making it work one thing at a time 2026-06-20
- Want AI to work in parallel? First give each one its own workspace 2026-06-21
- The AI did the work, but I'm the one who's wiped — you're the controller 2026-06-27
AI memory 3 posts
Giving your AI a memory, pruning it as it grows weeds, and turning the check-up into a tool.
AI security 1 post
Real and false alarms in AI security — a prompt-injection alert that turned out to be wrong, and more.