Agentic Engineering
The skills, prompts and checks I use when working with coding agents.
I keep these in my agentic-engineering repository. Below are the workflows I reuse and what I've written about working with agents.
Skills I've written
Reusable workflows for understanding code, checking changes and testing applications. Each link opens the skill's instructions, references and scripts on GitHub.
Finds hotspots where frequent changes meet complex code, checks a quality baseline in CI, and explains the factors behind a pull request's risk score.
Builds a headless tool that drives an application through its real entry points and records sessions as replayable action logs.
Quizzes you on your codebase and its language, one question at a time, with code you write by hand and a journal of weak spots.
Prompts
Prompts I reuse to keep agent instructions and skills manageable.
Splits a long AGENTS.md into a short root index and task-specific files that agents load when needed.
Restructures a skill into a lean SKILL.md, reference files and scripts while preserving its instructions.
Requirements and installation steps live in the README. The repository also includes a skill validator that checks structure, links and script syntax.
Skills I use from others
Engineering skills for investigation, implementation and review, with an emphasis on verifiable changes and keeping code simple.
Matt Pocock's engineering skills. I use grilling, domain-modeling, codebase-design, retro and wayfinder almost daily.
Writing on agents
- Keeping Up with the Code My Agents Write9 Oct 2026
How I work with coding agents today, from running several sessions to reviewing their changes and keeping the tests useful.

- Coding in the Age of AI - Lessons From a Year With AI Assistants18 Aug 2025
Over the last year, I’ve spent a large portion of my working hours interacting with AI assistants. Since we mainly use JetBrains products, this has meant working with the integrated AI support powered by either ChatGPT or Claude Sonnet (No relevant experience with agents yet). Here are some of my observations after a year of using these tools in practice.

- Integrating Ollama AI Models Into Spring Applications21 Sept 2024
Even though many people call it a bubble about to burst, it's increasingly obvious that LLM's are here to stay in some form or another for the long term. Previously, working with generative AI applications was mostly a domain reserved for python developers but is getting more and more ubiquitous across many programming languages.
