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Mar 21, 2026
Building Dictum — a macOS Dictation App with Tauri 2 (Rust + React) & Azure OpenAI
Hold a keyboard shortcut, speak, release — audio goes to Azure OpenAI or OpenAI Whisper for transcription with an optional GPT rephrase pass via Smart Keywords, and the polished text is injected into whatever app is in focus. The Rust hot path for audio capture, accessibility permissions, overlay window, and the non-obvious bits of shipping a Tauri app on macOS.
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Apr 12, 2026
Building a Multi-Agent E-Commerce Platform: The Complete Guide
A 12-part hands-on series on building production-ready multi-agent AI systems with Microsoft Agent Framework, A2A protocol, and a real e-commerce platform you can run locally.
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Zed and DeltaDB: Version Control Between Commits

Magentic-UI + Fara-7B: A Local-First Computer-Use Agent You Can Actually Run

Microsoft Agent Framework Makes Tool and File Access Approval-by-Default

Dev Tunnels: Test Webhooks and Share Local Apps Without a Deploy

Microsoft Ignite 2025: Microsoft Foundry - The Unified Enterprise AI Platform

Build Custom MCP Catalogs with Docker: Enterprise Control for AI Tooling
Recent Journal Entries
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The Keyless Cookbook: Managed Identity for Every Azure Service Your Agent Touches
The exact RBAC role, disable-local-auth switch, and DefaultAzureCredential snippet for every Azure hop an agent uses — OpenAI, AI Search, Cosmos, SQL, Blob, Key Vault, and more.

Zero-Secrets Architecture on Azure: Managed Identity for AI Agents
The governance case for keyless Azure: why shared keys are a liability, how managed identity plus RBAC fixes it, and how security, network, and platform teams enforce it.

The AI Gateway in Azure API Management: A Control Plane for Enterprise AI
One control plane for enterprise AI — how APIM's AI gateway gives security, network, and infrastructure teams governance over models, MCP tools, and agents. The full v2 surface.

AI Security: Prompt Injection, Jailbreaks, and Guardrails
Prompt injection, indirect injection, jailbreaks, and data exfiltration via tools — the real threats and defense layers that work in production AI systems.

MAF v1 — Deployment with Docker and Compose
Package the agent stack with one multi-target Dockerfile, one Compose file, and a dev.sh script with health gates locally.

MAF v1 — Prompt engineering (Python + .NET)
Structure prompts around identity, grounding, task rules, role context, and YAML composition so agents stay consistent over time.

MAF v1 — E-commerce repo guided tour (Python + .NET)
Every MAF concept from the prior chapters, mapped to the exact file and line where it lives in the live e-commerce repo.

MAF v1 — Evaluation framework (Python + .NET)
Build an eval pipeline with golden datasets, scoring, smoke/full modes, and CI gates to catch prompt regressions before release.

MAF v1 — Python ↔ .NET asymmetries: a porting reference
Compare the six Python and .NET MAF API differences you will hit when porting samples, from constructors to workflow wiring.