Sarah B. (@TechWithSarah) header
Sarah B. (@TechWithSarah) profile picture

daily AI productivity tips that work in real life. the apps, the shortcuts,honest reviews for people who want to use AI without becoming obsessed with it.

FL
Joined December 2017
OpenAI's acquisition of Pierre is worth watching from a productivity angle. Pierre's tools help developers navigate files, inspect changes and review code. those are the parts of coding work that become even more important when agents are generating changes in parallel. good AI workflows need good review workflows too
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Anthropic's AI development pace may have doubled over the past year, according to independent researchers at METR. one explanation they point to is AI helping build newer AI systems. that's fascinating, but it also makes independent evaluation and safety testing more important as capabilities improve
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Sam Fender covering the Rolling Stones for the John Lewis Christmas advert is a pairing I didn't know I needed. the choir from his old school and the brass band give the recording a personal touch. a familiar song can feel completely different when the arrangement has a story behind it.
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Hugging Face has introduced Model Integration Contracts to automate testing for Transformers integrations. i like this kind of developer tooling because it helps catch compatibility problems earlier. when teams are working with lots of models and libraries, reliable testing saves time that would otherwise go into chasing unexpected breakages.
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Amazon Bedrock Knowledge Bases is adding Crawl4AI integration, giving developers another way to bring web content into their AI-powered knowledge systems. this is useful because a lot of AI workflows depend on getting information into the right format before a model can do anything with it. better collection and preparation can make the whole process smoother.
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Epic Games says it's using Claude Code and Codex to help improve Unreal Engine, including tracking down long-standing bugs and investigating driver issues. this is a useful kind of AI assistance: not replacing the people who understand the engine, but helping them search a huge codebase and get to the hard problems faster.
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there are albums i put on because i love the music, and albums i put on because they help me get through a task. those aren't always the same thing. music i love too much can become a distraction because i'm listening to every lyric instead of doing what i'm supposed to be doing. instrumental music can be better for focus, even if i'd never choose it for a long drive. i've started thinking of playlists as tools for different moods rather than trying to find one perfect playlist for everything.
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