How to Pick the Right Size Model to Fine-Tune on the Machine You Already Own

Your machine picks the AI you can teach, not you. No new hardware, no jargon.

Instruct, 4-bit, and safetensors: Choosing a Model Copy to Download for Fine-Tuning

Three questions decide which Model copy you download from Model providers (Hugging Face, AWS Bedrock and more)

Software Engineers: Your Work Laptop Needs Local AI Agents

What if your work laptop had a team of Local AI Agents that understood your engineering context

Spec-driven AI Software Development: Kiro or BMAD?

AI coding assistants are great at typing. They’re less great at knowing what to type.

Enterprise Architect Thinking: Strategies for Guiding Teams to Build MCP Servers for Their Products

The teams build the servers. You build the conditions in which good servers are the natural outcome. That is Enterprise Architect thinking.

What Product-Centric Enterprise Architecture (EA) Really Means?

You as EA, Stop Reviewing. Start Paving

Stop Using One AI: The 9-Step Power Grid to Rule Your Workweek

The Hidden Conflict of Independent Contributors (ICs): What If Your Greatest Strength Is What You've Been Trying to Fix?

Understand A Different Definition of Success for ICs

Kishore's AI-SDLC Experiences: From Backlog Refinement to Implementation Readiness

Vision: Use AI-SDLC Mob Programming playbooks for implementation-ready outcomes

AWS Launch - Fargate Just Got a Lot Bigger: 32 vCPU Tasks and What They Mean for Spring Developers and eCommerce Applications

A small AWS announcement ECS on Fargate now supports 32 vCPU tasks

The Hidden Cost of AI Isn't the API Bill

When teams evaluate AI costs, they usually start with API pricing. Is that right approach?

The Rise of Modelmaxxing: Choosing the Right AI Model, Not Just More AI

For a while, many AI teams measured success by one thing: using more AI. That is changing now.