From principles to production
Why AI makes engineering fundamentals more important, not less, and how they shape real production decisions.
Technical notes
Categories
21 pages
Shaping with AI
AI tools, workflows, impact, prompt engineering
How I improved AI-generated Python code by setting clear instructions
A reflection on turning one AI-generated Python prototype into reusable coding-agent guidance: clearer implementation boundaries, stronger quality expectations, and a shared quality bar before prototypes become real tools.
Shaping with AI
Parallel agents hit a human limit faster than a system limit
Running multiple coding agents in parallel feels like a speed win until the bottleneck becomes the person trying to supervise all of them.
Shaping with AI
How to set up a Claude Code agent team workflow: from parallel tasks to peer review
A practical walkthrough of setting up Claude Code agent teams with clear roles, task ownership, communication rules, review steps, and lightweight output contracts.
Shaping with AI
Orchestrating parallel subagents for data collection, exploration, and reporting
A hands-on case study of using Codex subagents to coordinate data collection, preparation, and Slidev report generation in parallel.
Shaping with AI