Building AI agents on Azure feels overwhelming until you see the full roadmap.
This is a dev post classified by Jev as AI dev tools (a tutorial), kept by the Dev Radar because it carries real work, not commentary.
Building AI agents on Azure feels overwhelming until you see the full roadmap. Microsoft Foundry Agent Service + Microsoft Agent Framework give you everything but only if you follow the right sequence. Here’s the step-by-step flow: → 𝗗𝗲𝗳𝗶𝗻𝗲 𝘁𝗵𝗲 𝗔𝗴𝗲𝗻𝘁 𝗚𝗼𝗮𝗹 Choose one clear business outcome, decide what the agent should automate, set boundaries, and define when humans must review. → 𝗖𝗿𝗲𝗮𝘁𝗲 𝗮 𝗙𝗼𝘂𝗻𝗱𝗿𝘆 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 Set up the workspace to manage agents, models, tools, data, and Azure resources securely. → 𝗖𝗵𝗼𝗼𝘀𝗲 𝘁𝗵𝗲 𝗥𝗶𝗴𝗵𝘁 𝗠𝗼𝗱𝗲𝗹 Use stronger models for reasoning and faster models for simple workflow
Posted by Aiswarya Venkitesh (2.1k followers) 2 days ago · 56 likes · 1.3k views · view the original post on X. Kept by the Dev Radar as AI dev tools.
More dev work like this
- I think we’re looking for this — @vaibcode
- When a hard coding decision needs a second opinion, don’t settle for one model. — @DanKornas
- Banger paper from MIT and Sakana AI. — @dair_ai
- Nautilo agents use memory like memory competition champs. They never forget and they… — @Dan_Jeffries1
- AI agents need guardrails before they reach your tools. — @DanKornas
- 20-30 agents are only useful when you stop babysitting every one of them. — @catmanyau
- Okay, everyone wants us to give the unbiased facts. — @Teknium
- A single RTX 3090 hit 381 tok/s on Qwen3.8-27B. — @0x0SojalSec
Every post is read and classified by Jev (TypeSafe): what it is, which market it belongs to, and whether the link is a real tool. 14.4k posts from 4.7k X accounts over the last 21 days, 1.6k tools, 12 markets. Collected every 5 minutes, fully re-ranked every hour — last update 2026-09-19 21:10 UTC. Full method.