Kevin Lynagh weighs scope creep, structural diffing

This reads less like a product announcement and more like a shipping manifesto: define success narrowly, then stop researching and build the smallest thing that works.

• –He frames overthinking as the real project killer, especially when “prior art” research expands the problem beyond what he actually wants to solve.
• –Structural diffing becomes the concrete example: Difftastic is good, but not good enough for his entity-level review workflow, so he wants to build a slimmer tool instead of chasing feature parity.
• –The post is especially relevant to AI-assisted coding because his target use case is reviewing LLM output in small, supervised bursts rather than letting agents spray huge diffs.
• –He also calls out the trap of “80%-done” tools with flashy extras, including MCP servers and impact analysis, when the actual need is a focused review/staging experience.