Hacker News (AI keywords)Jun 4, 2026, 2:10 PMlaxmena

My Agent Skill for Test-Driven Development

Jason Swett shares a TDD skill for guiding AI agents toward clearer, more meaningful tests.

Jason Swett argues that uncoached AI agents still tend to write poor tests: vague, overcomplicated, tautological, or performative. His personal TDD skill guides agents through a specify-encode-fulfill loop inspired by Kent Beck’s Canon TDD. He also uses separate test and software design review skills, sometimes with Claude, to catch weak test design and prompt cleanup before implementation.

This item comes from Hacker News's AI keyword collection, with the title "Agentic Mfw," but the original content was not provided, so only a very limited and conservative interpretation is possible. The "Agentic" in the title usually refers to the "agentic" capabilities commonly seen in recent AI products and research—that is, a model or system that not only responds to a single prompt but can plan steps, call tools, execute tasks, observe results, and continuously adjust. This kind of concept often appears in discussions of AI agents, coding agents, automated workflows, and multi-tool collaboration. The other part, "Mfw," is internet slang commonly seen in meme contexts, meaning something close to "my face when," typically used to express one's reaction upon seeing something. Therefore, judging from the title alone, this content is likely not a serious technical release or paper, but rather more like a reaction, satire, or short commentary on the way the term "agentic" has been heavily used, over-hyped, or turned into marketing jargon. For Taiwanese developers, researchers, and product workers, if this is the case, what is worth noting is not the specific technical details, but how language within AI circles rapidly becomes popular, gets absorbed into product-narrative framing, and influences everyone's expectations of tool capabilities. However, since there is no body text, it cannot be inferred whether it criticizes a specific company, model, tool, or framework, nor confirmed whether the author offers implementation suggestions, industry observations, or whether it is simply a meme page. Its importance should therefore be assessed conservatively: it may reflect community sentiment and the heat of the AI agent topic, but it currently lacks verifiable information and substantive content.

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