Series19 parts
AI-Assisted Engineering
Working with AI coding agents, one part per post: lay out the project, plan before code, pick skills, agents or MCP, verify the output, write reusable skills.
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Latest posts
Deep dive9 min read
An AI speed-up claim is a prediction until you measure it
Check a coding agent's claim that code is faster: a baseline, a realistic workload, a profile, repeated runs, latency percentiles and memory use.
Deep dive11 min read
API breaking changes from AI code: guard the contract file
Guard against API breaking changes in AI-written code: protect the OpenAPI file, diff it on every pull request, test consumers, deprecate before removing.
Deep dive11 min read
AI-generated database migrations meet real rows and old code
How to review a database migration a coding agent wrote: existing rows, old code still running, PostgreSQL locks, and what a rollback cannot bring back.
Deep dive10 min read
AI coding agent scope creep: keep the fix, list the cleanup
Keep a coding agent to the task: state the scope and non-goals, back them with edit settings, spot unrelated edits and split the cleanup off.
Deep dive11 min read
Releasing AI-generated code: the agent prepares, you approve
A release process for AI-assisted software: what a coding agent may prepare, what a person must authorise, and where flags, canaries and rollback fit.
Deep dive12 min read
Coding agent context fills up: put constraints in a file
Context engineering for coding agents in a long task: what fills the window, what survives compaction, when to clear, and a handoff note to copy.
Deep dive11 min read
Parallel coding agents clash over files: split by ownership
Parallel coding agents only pay off when tasks are separate, so split work by owner, agree the interface first, use one worktree each and merge one at a time.
Deep dive9 min read
Coding agent dependencies: check the name before you approve
Before a coding agent adds a package, check it is needed, exists under that exact name, and what its licence, upkeep, install scripts and lockfile diff bring.
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What I write about
picked three
Selected projects
Cross-Platform Mobile App
A React Native app I built and released myself on both Google Play and the App Store, using AI coding tools for most of the build and the deployment.
AI-Assisted Business Central Development
Internal R&D tooling that turns written requirements into AL test files, so I spend less time writing the same kind of test by hand.
IoT Health Monitor
A wearable monitor built on ESP32 with pulse oximetry and temperature sensors, sending readings to a React dashboard over Wi-Fi.