Builder's Agent-Native team published guidance on de-slopping AI-generated codebases, using Dillon Mulroy's `anti-slop` Oxlint rules to flag patterns such as chained assertions, broad internal types, …
Developers Dillon Mulroy and Rin (r17x) are using call graph planning with an Effect TypeScript mental model to structure LLM prompts, categorizing steps into happy path (A), failure modes (E), and re…
A developer has adapted Effect TypeScript's mental model into a call graph planning technique for AI-assisted coding, making AI-generated plans easier to review and understand. The approach, inspired …
Coding agents' verbose text output is hurting usability, and HumanLayer has released an open-source skill called show-me that prompts agents to explain code visually using component trees, call stacks…
HumanLayer released 'show-me', a coding agent skill that prompts AI agents to explain their work with compact visuals like component trees and call stacks instead of prose, available via 'npx skills a…
Developer Dillon Mulroy released anti-slop, an open-source (MIT) plugin of opinionated Oxlint rules that reject low-evidence and low-signal TypeScript and JavaScript patterns, distributed via source a…