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Build your own claw and agent harness with Microsoft Agent Framework
What does it take to build your own "claw" - a capable, CLI-style agent that can plan, use tools, remember things, and safely act on your behalf? Coding agents and assistants like these can feel like magic, but underneath they are an agent harness: a loop around a language model wired up...
Read moreClick to read more about this postIn memory of the man who put red and green squiggles under words
Starting in Word and expanding to nearly every other word processor, and even things that aren't word processors.
Read moreClick to read more about this postStop overloading your skills
You built a skill for your technology. API references, authentication flows, SDK patterns, error handling, version info, all packed into one skill. The agent calls it, gets all that context, and generates code. The kicker? You've just wasted a lot of tokens.
It already knows
Models have...
Read moreClick to read more about this postLatest posts
Jun 22, 2026
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Build your own claw and agent harness with Microsoft Agent Framework
What does it take to build your own "claw" - a capable, CLI-style agent that can plan, use tools, remember things, and safely act on your behalf? Coding agents and assistants like these can feel like magic, but underneath they are an agent harness: a loop around a language model wired up...
Microsoft Agent Framework
Jun 22, 2026
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Models don't have preferences, they have context
You open a fresh chat, type "What framework should I use for a web app?", and the model says "React." You screenshot it, share it, and write "Claude prefers React." It gets engagement. People nod along. A few reply with their own results. And now we have a consensus: Claude prefers React....
Microsoft for Developers
Jun 22, 2026
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In memory of the man who put red and green squiggles under words
Starting in Word and expanding to nearly every other word processor, and even things that aren't word processors.
The Old New Thing
Jun 22, 2026
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How to Use Deep Agents with Azure Cosmos DB – Plan, act, and verify against operational data
Deep Agents is an agent harness built on LangGraph, for agents that need to work through a task over many steps instead of a single LLM call. The agent runs tools, looks at the results, and uses that to pick the next one, keeping a todo list as it goes. On top of that loop the harness...
Azure Cosmos DB Blog
Jun 22, 2026
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Retirement of Azure DevOps issuer in Workload identity federation service connections
We are announcing the deprecation of the Azure DevOps issuer in workload identity federation (WIF) service connections, with planned retirement on July 1, 2027. The Azure DevOps issuer uses the https://vstoken.dev.azure.com prefix in federated credentials. This change is part of...
Azure DevOps Blog
Jun 21, 2026
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Copilot 在 JetBrains IDE：功能更新与 Claude 作为 Agent 提供方预览
本次更新为 GitHub Copilot for JetBrains IDEs 带来了对来自 GitHub 的组织和企业级 agent 的支持，让你可以在 Copilot CLI 会话中排队和引导消息，引入了全新的 agent 调试日志摘要视图，并将 Claude 作为 agent...
Java Blog in Chinese
Jun 19, 2026
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What does it mean when the bottom bit of my HMODULE is set?
A special kind of
HMODULE.The Old New Thing
Jun 19, 2026
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Separating Deterministic Extraction from AI Inference in Industrial Summarization
When 100% of our prototype outputs were valid JSON but 0% met the data contract, we discovered the LLM was doing work that software should own. A field classification exercise and 4-pass pipeline brought schema compliance from 0% to 100%.
ISE Developer Blog
Jun 19, 2026
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What 50,000 Runs of a 5-Line Eval Taught Us
How AI coding models calibrate effort, token cost, and tool use on even the simplest task, and what that means for model selection and cost.
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VS Code Blog