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Developer Tools

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Friday, 17 July 2026

LLM cliché highlighter

Simon Willison's Weblog 3 months ago 29

A developer created a browser-based tool that detects and highlights clichéd phrases commonly found in language model outputs, such as "no X, no Y" constructions and expressions like "sit with that." The tool identifies ten common LLM-generated patterns with toggleable detection, match counting, and sentence-level highlighting, running entirely in the browser with localStorage support. Users can now identify characteristic language model writing patterns when reading text, making it easier to spot AI-generated content or content heavily influenced by LLM outputs.

The LLM Critics Are Right. I Use LLMs Anyway

Jeremy Theocharis 3 months ago 11 ● 3 sources

A software engineer acknowledges valid criticisms of large language models—including copyright concerns, environmental impact, and risks to open-source development and junior engineer training—while explaining why they continue using them extensively, arguing that LLMs amplify human thinking rather than replace it when used by credible people who stand behind their work. The author spent nearly $10,000 on LLM tokens in June 2026 and views this as justified because the tools enable higher-quality output when humans maintain responsibility for the final product. The core tension, according to the author, is that distinguishing thoughtful LLM-assisted work from AI-generated slop requires trust in the human creator, since the output looks identical regardless of human effort behind it.

Coldtea.ai

Product Hunt 3 months ago 41

Coldtea.ai launched a platform designed to automate software delivery processes by applying AI to build, test, and deployment workflows. The system claims to reduce manual intervention in CI/CD pipelines through autonomous decision-making. Teams using the platform can redirect engineering effort from repetitive deployment tasks to feature development.

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