2026 Week 21 - AI agent flows
2026W21
TLDR;
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Compare and contrast Matt Pocock AI workflow, particularly around the use of skills /grill-with-docs different types of job types of Human In Loop vs. Away From Keyboard with Allium language and approach.
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Try Matt Pocock skills, compare the improve codebase architecture skill with modularity tools from - GitHub - vladikk/modularity: Claude Code plugin for designing modular systems from functional requirements and reviewing existing codebases for modularity problems with actionable improvement recommendations. Based on the Balanced Coupling model. · GitHub and GitHub - JuliusBrussee/caveman: 🪨 why use many token when few token do trick — Claude Code skill that cuts 65% of tokens by talking like caveman · GitHub.
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Compare results with a varion Kit approach. Been a slow month on prof. dev but I’ve come back to catch up on AI agent flows and particularly about a good approach and scaffolding to achieve good outcomes for AI adoption. While tooling is necessary, I want practical heuristics that can be applied generally.
Matt Pocock has done a decent job explaining his flows and how he focuses on skills to define the job to be done / prd and then how to get the issues/stories into vertical slices/tracer bullet (for pragprog) to guide towards modules with deep interfaces (Jonh Ouster)
I’ve got a growing list of skills to go back to.