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Microsoft Engineer's Setup for AI Coding Agents — A Practice Worth Standardizing

Microsoft Engineer's Setup for AI Coding Agents — A Practice Worth Standardizing

Streamline your team's setup with m8tly.aiAgency, integrating AI coding agents to enhance productivity from day one. Standardizing this process saves time and reduces friction for new developers.

Roi BecidanRoi Becidan
Mar 26, 2026
Microsoft Engineer's Setup for AI Coding Agents — A Practice Worth Standardizing

Microsoft Engineer's Setup for AI Coding Agents — A Practice Worth Standardizing

Streamline your team's setup with m8tly.aiAgency, integrating AI coding agents to enhance productivity from day one. Standardizing this process saves time and reduces friction for new developers.

Roi BecidanRoi Becidan•Mar 26, 2026
From MVP to Production: Why 95% of AI Projects Never Ship - Define MVP Goals

From MVP to Production: Why 95% of AI Projects Never Ship - Define MVP Goals

Defining clear MVP goals ensures your generative AI app addresses a real problem, leading to quicker development and more impactful solutions. Start with the problem statement to avoid common pitfalls.

Roi BecidanRoi Becidan
Mar 7, 2026
LLM Gateway: Taking Control of Your AI Traffic

LLM Gateway: Taking Control of Your AI Traffic

An LLM gateway unifies access to diverse AI models, streamlining API management and optimizing costs while enhancing compliance and observability. Simplify your AI traffic flow today.

Yuval gabayYuval gabay
Feb 18, 2026
Do We Still Need RAG When Building Production Agentic Systems?

Do We Still Need RAG When Building Production Agentic Systems?

RAG remains essential for managing large datasets, but advancements in context windows offer alternatives for simpler queries. Understanding these options can optimize your system's efficiency.

Arik BidnyArik Bidny
Mar 9, 2026

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Empowering engineering teams with Agentic AI.
Created with by m8tly.ai Team

© 2026 m8tly.ai. All rights reserved.

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