Tag: workflows

  • Simon Willison’s Weblog: o3-mini is really good at writing internal documentation

    Source URL: https://simonwillison.net/2025/Feb/5/o3-mini-documentation/#atom-everything Source: Simon Willison’s Weblog Title: o3-mini is really good at writing internal documentation Feedly Summary: o3-mini is really good at writing internal documentation I wanted to refresh my knowledge of how the Datasette permissions system works today. I already have extensive hand-written documentation for that, but I thought it would be interesting…

  • Hacker News: How I use LLMs as a staff engineer

    Source URL: https://www.seangoedecke.com/how-i-use-llms/ Source: Hacker News Title: How I use LLMs as a staff engineer Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text provides a nuanced perspective on the use of large language models (LLMs) within software engineering, highlighting both their transformative potential and limitations. It details real-world applications and personal strategies…

  • Cloud Blog: How we improved GKE volume attachments for stateful applications by up to 80%

    Source URL: https://cloud.google.com/blog/products/containers-kubernetes/gkes-faster-cluster-upgrades-under-the-hood/ Source: Cloud Blog Title: How we improved GKE volume attachments for stateful applications by up to 80% Feedly Summary: If you run stateful workloads on Google Kubernetes Engine (GKE), you may have noticed that your Cluster upgrades execute much faster as of late. You’re not imagining things. We recently introduced an  enhancement…

  • Hacker News: Why employees smuggle AI into work

    Source URL: https://www.bbc.com/news/articles/cn7rx05xg2go Source: Hacker News Title: Why employees smuggle AI into work Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the phenomenon of “shadow AI,” wherein employees utilize unauthorized AI tools in the workplace due to various reasons, including inefficiencies in corporate tool offerings. This trend poses significant security risks,…

  • Hacker News: Managing Secrets in Docker Compose – A Developer’s Guide

    Source URL: https://phase.dev/blog/docker-compose-secrets Source: Hacker News Title: Managing Secrets in Docker Compose – A Developer’s Guide Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses best practices for managing secrets in Docker Compose, emphasizing security implications of using environment variables and providing progressively secure methods for handling secrets. It highlights issues and…

  • Simon Willison’s Weblog: OpenAI reasoning models: Advice on prompting

    Source URL: https://simonwillison.net/2025/Feb/2/openai-reasoning-models-advice-on-prompting/ Source: Simon Willison’s Weblog Title: OpenAI reasoning models: Advice on prompting Feedly Summary: OpenAI reasoning models: Advice on prompting OpenAI’s documentation for their o1 and o3 “reasoning models" includes some interesting tips on how to best prompt them: Developer messages are the new system messages: Starting with o1-2024-12-17, reasoning models support developer…

  • Simon Willison’s Weblog: A professional workflow for translation using LLMs

    Source URL: https://simonwillison.net/2025/Feb/2/workflow-for-translation/#atom-everything Source: Simon Willison’s Weblog Title: A professional workflow for translation using LLMs Feedly Summary: A professional workflow for translation using LLMs Tom Gally is a professional translator who has been exploring the use of LLMs since the release of GPT-4. In this Hacker News comment he shares a detailed workflow for how…

  • Hacker News: Auto-Differentiating Any LLM Workflow: A Farewell to Manual Prompting

    Source URL: https://arxiv.org/abs/2501.16673 Source: Hacker News Title: Auto-Differentiating Any LLM Workflow: A Farewell to Manual Prompting Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses LLM-AutoDiff, a novel framework aimed at improving the efficiency of prompt engineering for large language models (LLMs) by utilizing automatic differentiation principles. This development has significant implications…