Here are today's most interesting finds from across the AI agent ecosystem.
1. KwaiKAT Team Releases KAT-Coder-V2.5: An Agentic Coding Model Trained on 100,000+ Verifiable Repository Environments
The KwaiKAT Team at Kuaishou has published the KAT-Coder-V2.5 technical report, arguing that agentic coding capability is bottlenecked by training infrastructure rather than model scale. AutoBuilder r
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2. Your Turn Is a Session Handoff, Not a Completion Claim
<p>When a coding agent stops producing output, the next step is not automatically yours. It may be waiting on a tool, calculating, stalled, or actually finished. A useful <strong>your-turn
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3. An AI Coding Status Companion Should Observe, Not Operate
<p>A coding agent can run for minutes without needing anything from you. The practical problem is not how to make it execute more work. It is how to leave the terminal, keep the right context, a
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4. Building Language Understanding Models with LLM: A Step-by-Step Guide
<p>We are going to build a language understanding layer that turns raw customer support messages into structured intent and entity JSON. This kind of module is the backbone of any agentic suppor
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