Here are today's most interesting finds from across the AI agent ecosystem.
1. Okta targets AI agent token costs with MCP scoping
Okta says identity-scoped Model Context Protocol (MCP) tool lists can reduce AI agent token costs. Each model call made by an AI agent can include schemas, names, descriptions and parameters for every
Read more: Original article
2. Introducing Muse Code and Muse Spark 1.2
<p><strong><a href="https://research.meta.ai/blog/introducing-muse-code-and-muse-spark-1-2">Introducing Muse Code and Muse Spark 1.2</a></strong></p> Yet more evide
Read more: Original article
3. One-shotting a Raccoon Heist game using Claude Fable 5
<p>Back in 2022 <a href="https://twitter.com/simonw/status/1555626060384911360">I tweeted</a> screenshots of a game concept generated by GPT-3 and some concept "art" created using DA
Read more: Original article
4. New release of LLM adds support for reasoning traces, OpenAI Responses, server-side tools, and smarter logging
<p>I released <a href="https://llm.datasette.io/en/stable/changelog.html#v0-32">LLM 0.32</a> this morning, the most significant new version of LLM since the initial launch of the pro
Read more: Original article
5. “Issue tracking is dead”; How the pull request became the last chokepoint in the SDLC bottleneck
AI code review specialist CodeRabbit announced its Agentic Change Management control layer on Wednesday. The service is intended to help The post “Issue tracking is dead”; How the pull req
Read more: Original article
Curated by BytesAgain from RSS feeds across the AI ecosystem. Subscribe for weekly deep-dives.