ai-assisted
6 posts tagged.
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Today I heard the term “harness engineering” for the first time: Harness engineering is the practice of building tooling, tests, and automation that let coding agents execute tasks safely and reliably. If code is written more and more by LLMs, the focus seems to be shifting to …
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A short post on combining skills. It's not always clear when a skill will be called or triggered. The easiest way is to put instructions and directly invoke the skill you want by name. For example, for my Today I Learned mini blog site, I have two skills to keep my TILs focussed …
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This is a short experience report about using skills (with Codex and its models) to build a personal AI assistant that helps me maintain my time-tracking log. To set expectations: the assistant does not manage my calendar or tasks. It helps me keep a time-tracking log that lives …
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I have been meaning to share more about my LLM workflows and tooling for a while, partly to have a reference for conversations, but mostly to learn in public. Agent Chisels is where I will be sharing the custom artefacts (primarily skills, with commands and agents to follow) that…
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If you've read some of my posts before or worked with me, you know I like using Architectural Decision Records (ADRs) for lots of reasons. To me the most important one is documenting the why of a decision. If you've worked with AI models before, you've probably asked them for opt…
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TLDR: Use code coverage reports to verify that test refactorings haven't accidentally changed what functionality you're testing. Same coverage percentage before and after refactoring gives confidence your tests still cover the same code paths. If we refactor code, tests should co…