Small models are cheap to run, but expensive to adapt. The hard part is not only fine-tuning. It is the surrounding loop that involves collecting data, diagnosing failures, building evals, avoiding regressions, choosing curricula, and deciding when an update is safe. This new
@dair_ai
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Proactive AI Agents: Real-Time Intent Recognition Research
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Most AI assistants wait for you to ask. But a truly useful agent should notice you need help before you say anything. New research takes a serious shot at building proactive agents that work in real time. The work introduces PASK with three components: IntentFlow for streaming
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Artifacts as Memory Beyond Agent Boundary: Formal Framework
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// Artifacts as Memory Beyond the Agent Boundary // An agent doesn't always need a bigger memory buffer. Sometimes the environment itself remembers on the agent's behalf. New research formalizes this intuition mathematically for the first time. The work introduces a formal
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Top AI Papers: Agents, LLMs, and Coding Automation
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The Top AI Papers of the Week (April 6 – 12) – Memento
– Neural Computers
– The Universal Verifier
– Agent Skills in the Wild
– Memory Intelligence Agent (MIA)
– Single-Agent vs Multi-Agent LLMs
– Scaling Coding Agents via Atomic Skills Read on for more: -
Claude Code Cheat Sheet Guide for Developers
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https://
academy.dair.ai/claude-code-ch
eat-sheet
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Claude Code Cheat Sheet: Commands, Shortcuts, Best Practices
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Introducing our Claude Code Cheat Sheet.
— DAIR.AI (@dair_ai) 9 avril 2026
Keep track of all the latest Claude Code commands, shortcuts, and best practices.
All in one place. Easy to navigate. pic.twitter.com/esazLftGnvIntroducing our Claude Code Cheat Sheet. Keep track of all the latest Claude Code commands, shortcuts, and best practices. All in one place. Easy to navigate.
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Scaling Coding Agents Through Atomic Skills Composition
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// Scaling Coding Agents via Atomic Skills // Most coding agents train end-to-end on full tasks like resolving GitHub issues. But complex software engineering is really a composition of simpler skills, and training on the composite makes it hard to improve the parts. This
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Google’s Multi-Agent Research System Automates Literature Reviews
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NEW paper from Google on multi-agent research agents. It's one of the first systems that handles end-to-end LaTeX generation, targeted literature reviews, and conceptual diagrams as a decoupled, standalone writer. Automated research frameworks can run experiments, but their
