Tag: coding tasks

  • Simon Willison’s Weblog: My First Open Source AI Generated Library

    Source URL: https://simonwillison.net/2025/Jun/21/my-first-open-source-ai-generated-library/#atom-everything Source: Simon Willison’s Weblog Title: My First Open Source AI Generated Library Feedly Summary: My First Open Source AI Generated Library Armin Ronacher had Claude and Claude Code do almost all of the work in building, testing, packaging and publishing a new Python library based on his design: It wrote ~1100 lines…

  • Slashdot: How Do Olympiad Medalists Judge LLMs in Competitive Programming?

    Source URL: https://slashdot.org/story/25/06/17/149238/how-do-olympiad-medalists-judge-llms-in-competitive-programming?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: How Do Olympiad Medalists Judge LLMs in Competitive Programming? Feedly Summary: AI Summary and Description: Yes Summary: The text discusses a newly established benchmark demonstrating that large language models (LLMs) are not yet capable of outperforming elite human coders, particularly in problem-solving contexts. The findings indicate limitations in the…

  • Slashdot: AI Startups Revolutionize Coding Industry, Leading To Sky-High Valuations

    Source URL: https://developers.slashdot.org/story/25/06/04/0820246/ai-startups-revolutionize-coding-industry-leading-to-sky-high-valuations?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: AI Startups Revolutionize Coding Industry, Leading To Sky-High Valuations Feedly Summary: AI Summary and Description: Yes Summary: The text discusses the rapid growth and investment in code generation startups following the launch of ChatGPT, highlighting their innovative approach to software development through natural language. It notes a significant shift…

  • Simon Willison’s Weblog: llm-mistral 0.14

    Source URL: https://simonwillison.net/2025/May/29/llm-mistral-014/#atom-everything Source: Simon Willison’s Weblog Title: llm-mistral 0.14 Feedly Summary: llm-mistral 0.14 I added tool-support to my plugin for accessing the Mistral API from LLM today, plus support for Mistral’s new Codestral Embed embedding model. An interesting challenge here is that I’m not using an official client library for llm-mistral – I rolled…

  • AWS News Blog: Introducing Claude 4 in Amazon Bedrock, the most powerful models for coding from Anthropic

    Source URL: https://aws.amazon.com/blogs/aws/claude-opus-4-anthropics-most-powerful-model-for-coding-is-now-in-amazon-bedrock/ Source: AWS News Blog Title: Introducing Claude 4 in Amazon Bedrock, the most powerful models for coding from Anthropic Feedly Summary: Claude Opus 4 is now available on Amazon Bedrock for developers to build advanced AI agents with improved reasoning and coding capabilities, as well as expanded context for building more autonomous…

  • Slashdot: Anthropic Releases Claude 4 Models That Can Autonomously Work For Nearly a Full Corporate Workday

    Source URL: https://slashdot.org/story/25/05/22/1653257/anthropic-releases-claude-4-models-that-can-autonomously-work-for-nearly-a-full-corporate-workday Source: Slashdot Title: Anthropic Releases Claude 4 Models That Can Autonomously Work For Nearly a Full Corporate Workday Feedly Summary: AI Summary and Description: Yes Summary: Anthropic has introduced Claude Opus 4 and Claude Sonnet 4, advanced coding and generative AI models, showcasing significant improvements in performance and capabilities, particularly for development…

  • Cloud Blog: Announcing Anthropic’s Claude Opus 4 and Claude Sonnet 4 on Vertex AI

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/anthropics-claude-opus-4-and-claude-sonnet-4-on-vertex-ai/ Source: Cloud Blog Title: Announcing Anthropic’s Claude Opus 4 and Claude Sonnet 4 on Vertex AI Feedly Summary: Today, we’re expanding the choice of third-party models available in Vertex AI Model Garden with the addition of Anthropic’s newest generation of the Claude model family: Claude Opus 4 and Claude Sonnet 4. Both…

  • Slashdot: Google’s Gemini 2.5 Models Gain "Deep Think" Reasoning

    Source URL: https://tech.slashdot.org/story/25/05/20/1915256/googles-gemini-25-models-gain-deep-think-reasoning?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Google’s Gemini 2.5 Models Gain "Deep Think" Reasoning Feedly Summary: AI Summary and Description: Yes Summary: Google has rolled out significant enhancements to its Gemini 2.5 AI models, particularly a new “Deep Think” reasoning mode that improves the models’ performance on complex tasks by allowing for hypothesis evaluation. These…