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@DataboxHQ uses LangSmith to evaluate their multi-turn analyst agent Genie. An inside look: https://
databox.substack.com/p/how-we-evalu
ate-a-multi-turn-agent
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AGENTS
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Databox Evaluates Multi-Turn Analyst Agent Genie Using LangSmith
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Active Graph video: flipped agent architecture, blackboard system, self-improvement
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longer form video on Active Graph [7 min 22 sec]
— Yohei (@yoheinakajima) 21 mai 2026
– flip the agent architecture
– 1970s blackboard system
– rollback, fork, diff agent runs
– experience + behaviors + beliefs = you
– behaviors can write behaviors (self-improvement)
github: https://t.co/8ENyNt4gYD pic.twitter.com/WeN2D60bdjlonger form video on Active Graph [7 min 22 sec] – flip the agent architecture
– 1970s blackboard system
– rollback, fork, diff agent runs
– experience + behaviors + beliefs = you
– behaviors can write behaviors (self-improvement) github: https://
github.com/yoheinakajima/
activegraph
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Building Applications with Streaming AI Agents
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Streaming agents should feel like building applications, not parsing logs.
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GenAI drives enterprise ROI as coding agents gain traction
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Enterprise adoption will take awhile, but we have moved past no success – 75% of companies had positive ROI from GenAI in November, and coding agents are now starting to have a real impact at many firms. I think normal adoption does not mean that model abilities aren't growing.
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Mix-Quant: Quantized Prefilling and Decoding for Agentic LLMs
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Mix-Quant Quantized Prefilling, Precise Decoding for Agentic LLMs
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Auth Proxy: Controlling Agent Behavior Boundaries
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Introducing the sandbox Auth Proxy: A way to control the boundary between agent-generated behavior and the rest of the world. An explainer from @hwchase17
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Tips for AI-assisted scientific coding workflows
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How to vibe code in science: early adopters share their tips
by Nicola Jones @Nature Learn more: https://
bit.ly/4uOUTo1 #Coding #AI #GenerativeAI #ArtificialIntelligence #MachineLearning -
Optimize Your AI Agents with the Right Context
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This applies to any AI coding agent, not just Codex. Cursor, Claude Code, and Antigravity all follow the same approach. Stop asking it to write code from scratch. Provide it with the elements that help you focus on the problem you actually want to solve.
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Codex enhances engineers’ focus
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6/ The thread beneath all five. Codex isn’t used to write code faster. It’s used to handle the work that disrupts focus. Reading. Refactoring. Testing. Scaffolding. Background tasks.
The engineer stays in the flow. The agent takes care of the rest. -
NVIDIA Verified Agent Skills for AI Agent Capability Governance
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Technical Deep Dive https://
developer.nvidia.com/blog/nvidia-ve
rified-agent-skills-provide-capability-governance-for-ai-agents/
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