Code Generation

69 summarised stories about Code Generation, each linking back to the original source. Browse all topics →

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OpenAI Anthropic Codex Claude Mistral AI Google

Thursday, 6 November 2025

DS-STAR: A state-of-the-art versatile data science agent

Google Research 11 months ago 34

Researchers introduced DS-STAR, an autonomous agent that solves data science problems by converting natural language questions into executable code, addressing limitations of previous agents that struggled with diverse data formats and open-ended problems. DS-STAR achieved 45.2% accuracy on the DABStep benchmark compared to 41.0% for the previous best method, and ranked first on the public leaderboard as of September 18, 2025. The system automates complex data science workflows by iteratively planning, coding, and verifying solutions across multiple heterogeneous data sources.

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Code Generation Agent Architecture

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TLDRocket 17 October 2026

For all the talk of AI agents that can browse, plan, and finish the job, today’s reality check is on the web itself. Users of Meta’s Muse, xAI’s Grok, OpenAI’s Dots, and Instinct have reported being blocked when agents try to take actions at major sites—turning “autonomous” into “ask permission.” The practical fix is emerging in parallel: Perplexity open-sourced SPACE, its Firecracker microVM sandbox for running agent tasks, and said median create latency fell from 185 ms to 60 ms while host-escape mitigations hit 0 of 108 red-team runs. In other words, the stack is getting more careful about where code runs and what it can do, because the outside world is increasingly saying no.

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Code Generation

Key players

Thursday, 6 November 2025

DS-STAR: A state-of-the-art versatile data science agent

Every AI story that matters, in your inbox by 8am.

Every AI story that matters,
in your inbox by 8am.