Hilary Gridley shares how she uses Claude Code to manage her personal and professional life, emphasizing simplicity and AI learning preferences through observation. Her approach includes instant task capture, a framework for deciding task automation, and using AI to break down tasks into manageable steps, enhancing productivity without complex setups.
Daily Digest — 2026-03-31
Stripe has developed AI coding agents known as 'minions' that can generate 1,300 pull requests weekly, initiated through Slack reactions. Steve Kaliski explains that the main challenge isn't coding speed but the activation energy required to start projects, which is reduced by using Slack and cloud development environments. This approach enhances both AI and human developer productivity by integrating robust documentation and tooling. The system still requires human review, but automation aids in managing the large volume of AI-generated code.
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Learn Claude Code by doing, not reading
An article discusses learning Claude Code through practical application rather than reading, noting issues with token consumption in the process.
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datasette-llm 0.1a3
The release of datasette-llm 0.1a3 allows users to configure which LLMs are available for specific plugins, enhancing flexibility in model usage.
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Quoting Georgi Gerganov
Georgi Gerganov discusses the challenges of using local models with coding agents, highlighting issues with model chat templates and prompt construction. The complexity of the system makes it difficult to ensure reliability across the entire stack.
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Mr. Chatterbox is a (weak) Victorian-era ethically trained model you can run on your own computer
Mr. Chatterbox is a language model trained on Victorian-era texts, offering a unique but limited conversational experience. Despite its historical flavor, the model's effectiveness is constrained by its small training dataset compared to modern standards.
Mistral has launched Voxtral TTS, a multilingual text-to-speech model with open weights, achieving a high benchmark performance. The model uses a novel architecture combining semantic and acoustic token generation, contributing to open research and offering potential for enterprise deployment and personalization.
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llm-mrchatterbox 0.1
Release of llm-mrchatterbox 0.1, a Victorian-era trained language model for local use.