Most work AI is still a prompt box.
The shift: always-on agents with identity, context, and governance.
Microsoft Scout is the signal. Agents aren’t features. They’re becoming coworkers with audit trails.
https://t.co/f6fqjm50GV #msbuild
SRE agents shouldn’t be another portal to check.
Azure’s MCP move turns them into infrastructure you can query from your IDE, terminal, or assistant.
The shift: ops context enters the dev flow.
What would you automate first?
https://t.co/3clQgyG5qk
The best AI coding tools slow you down first.
@VisualStudio’s May update gets this right: Plan before edits, show context usage, review multi-file diffs in one place.
AI generation is easy.
Trustworthy change management is the hard part.
Lear more: https://t.co/aWDpTYuxwo
Most AI events teach tools. The best ones change how developers think.
Join developers in Houston for a free, hands-on Microsoft AI Agent Open Hack using Foundry, VS Code, and GitHub Copilot.
Sign up here: https://t.co/dWPvuNXlz3
AI coding’s bottleneck isn’t writing code anymore. It’s reviewing, securing, governing, and shipping it. The teams that win won’t just prompt better. They’ll orchestrate better.
Read more: https://t.co/x4CJzEIb10
Most AI agent demos teach complexity first, clarity later.
@lee_stott's Foundry Agent Lab flips it: 9 demos, 1 new primitive at a time, same SDK, same model-router deployment.
That’s how devs learn what matters.
Read the lab. Steal the structure.
https://t.co/QtPNFpRYFg
The best session catalog is an agent that understands what you are building.
Build CLI flips it: it reads project dependencies, finds relevant Microsoft Build sessions, then helps you scaffold from what you learned.
Less browsing. More building.
https://t.co/lAvU6vDCPf
Azure DevOps teams can now bring DevOps actions into VS Code Agent using MCP.
Work items. PRs. Pipelines. Repos. Test plans. Wiki.
Less tool switching. More flow.
What Azure DevOps task would you want your agent to handle first?
Read more: https://t.co/7Ceg6jhSab
Azure Infra Summit 2026 is live today.
Join for the stuff infra teams actually need: landing zones, IaC, AKS, networking, resiliency, storage, backup, cost, and production gotchas.
Free. Virtual. Engineering-led.
Register and watch live: https://t.co/zAykT7YLXF #Azure
AI agents won’t replace engineers. Coordination drag will.
The hard part isn’t detection. It’s chasing vendors, validating fixes, & closing loops.
Agents win when they carry context until work is done.
What workflow is your biggest coordination debt?
https://t.co/lwQZxNXjuq
The commit is no longer the atomic unit of delivery.
In AgenticOps, the spec is.
Agents write code. Evals gate it. Refusal rules bound it. Humans review intent.
That is the shift Copilot teams need to understand.
Read AKS-Lab-GitHubCopilot: https://t.co/hdLS9OtwZQ
The UI is becoming the new API.
Computer-using agents can automate work trapped inside portals, desktop apps, and legacy systems.
Not by chatting. By doing the work.
What legacy workflow would you automate first? #AIAgents
Read More: https://t.co/qC9MACFeRz
AI agent governance fails when review happens after damage. Agent 365 + Purview move controls to runtime: block labeled files, stop sensitive sends, log the trail. Can your team prove what each agent did?
Learn more: https://t.co/WUOrGa5FN3
AI agents don’t fail in demos. They fail in workflows.
Microsoft’s Agent Evaluations preview points to the real bar: tests for coherence, grounding, and multi-turn tasks.
Stop vibe-checking agents. Start scoring them.
Try the CLI: https://t.co/BMMU6XvcpZ
Most cloud events talk to the buyer. Azure Infra Summit talks to the person who gets paged. 3 days on Build, Operate, Optimize for real Azure production work. Free, virtual, May 19–21. Register: https://t.co/QCBOeLyKik #Azure
Your agentic CI bill is probably hiding in “reads.”
If an agent uses LLM turns to fetch diffs, labels, or comments, you’re paying for reasoning where none is needed.
Move deterministic reads before the agent starts.
Read the breakdown: https://t.co/nWymO72dYM
Authentication is not authorization for AI agents.
Scoped, short-lived tokens tell your APIs what the agent may actually access.
That boundary matters when agents are wrong, creative, or attacked.
Try the Curity + Microsoft azd template.
https://t.co/guN50PP5bg
Agent sprawl isn’t a model problem. It’s an architecture problem. Without a control plane, every agent that calls tools, touches data, or burns tokens becomes shadow IT with autonomy.
Read more: https://t.co/D9gH7Rnh61
OpenClaw is growing because agent builders want control: tools, state, and long-running workflows—not prettier demos.
Join OpenClaw: After Hours at GitHub HQ or Twitch on June 3.
Register: https://t.co/CHCdUbXqpD