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OpenAI NewsMar 11, 2026

From model to agent: Equipping the Responses API with a computer environment

OpenAI engineering post on how they built an agent runtime using the Responses API, hosted shell tool, and containers — giving agents persistent file access, tool execution, and state across runs. Covers the architecture decisions behind making the Responses API a full agent execution environment rather than just a stateless inference endpoint.

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Anthropic EngineeringMar 11, 2026

Quantifying infrastructure noise in agentic coding evals

Anthropic researchers found that infrastructure configuration — things like CPU throttling, network latency, and VM scheduling — can swing agentic coding benchmark scores by several percentage points, sometimes more than the actual gap between top models on leaderboards. This means many published eval comparisons are noisier than they appear, and teams running their own benchmarks need to control for environment carefully. Important reading for anyone doing serious agent evaluation work.

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OpenAI Developer BlogMar 11, 2026

From prompts to products: One year of the Responses API

OpenAI marks one year of the Responses API with five developer stories showing how teams have used it to build production agentic products — from automated research tools to customer-facing agents. A good snapshot of what the Responses API enables in practice, beyond the launch-day demos.

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MCP Official BlogMar 11, 2026

Understanding MCP Extensions

The MCP team explains the extensions system — how developers can layer new capabilities (custom auth, richer UI, domain-specific conventions) on top of the core protocol without modifying the spec itself. Covers the design philosophy, current community patterns, and how extensions stay compatible across client implementations. The guide for any developer hitting the limits of baseline MCP.

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