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A June 2026 wave of papers shows pruning beats full context on accuracy and cost — and that eviction is becoming a deterministic, cache-aware system, not a summarize call.

Agent skills are an executable supply chain that runs with your agent's full privileges — and the first wave of benchmarks shows our defenses see only half the attacks.

Recent work turns skills, harnesses, and context into objects you can search over and benchmark — optimizing the English around a frozen model instead of the model.

Frameworks are quietly replacing JSON tool calls with generated code. That collapses turns and tokens — and pushes isolation down to the single call.

A new survey and Microsoft's BUILD 2026 release both landed on the same idea: agent capability is leaving the model and moving into the harness.

OpenAI killed its visual Agent Builder the same week Google shipped first-party skills. The agent capability layer just consolidated.

New benchmarks measure calibrated refusal and premature self-stops, and the data says agent confidence signals are broken. Here's how to engineer around it.

In ten days of June 2026, agents got their own budget, their own permission manifest, and their own credentials. The agent is now a principal, not a feature.

Agent RL's bottleneck moved from data to reward to the environment itself. The newest research tries to take humans out of environment-building entirely.

Anthropic and OpenAI independently shipped internal data agents and reached the same conclusion: discovery beats generation, and structure beats access.