Notes on building & ideas
Essays, experiments, and field notes on technology, software, and the occasional tangent.
Databricks Partner Well Architected Framework: How to Actually Build and Submit a Solution With It
A practical guide to the Databricks Partner Well Architected Framework (PWAF): the three partner tracks, the four pillars, the four deployment models, and the deployment-model decision that quietly determines what program benefits you can ever earn.
Read the story →Principles and Patterns of Building AI Agents: An Honest Review of Mastra's Free Two-Book Series
A grounded review of Sam Bhagwat's two free Mastra books, Principles of Building AI Agents and Patterns for Building AI Agents. Principles teaches what to build; Patterns teaches how to keep it alive in production.
30 Agents Every AI Engineer Must Build: An Honest Review After Three Months With the Book
An honest, in-depth review of 30 Agents Every AI Engineer Must Build by Imran Ahmad (Packt). Why the book is really a pattern library for production agent engineering, not a catalog of 30 demos.
The Resume Guide I Wish I Had: Build, Fix, and Tailor It to Land the Interview
A complete 2026 guide to building a resume from scratch, finding the gaps, tailoring it to a role and company, and passing the ATS, plus a matching cover letter and the tools that make it faster.
Databricks Partner Well Architected Framework: How to Actually Build and Submit a Solution With It
A practical guide to the Databricks Partner Well Architected Framework (PWAF): the three partner tracks, the four pillars, the four deployment models, and the deployment-model decision that quietly determines what program benefits you can ever earn.
Databricks Data + AI Summit 2026: The Lakehouse Becomes the Agentic Control Plane
A technical deep dive into Databricks Data + AI Summit 2026: Genie One, Unity AI Gateway, Lakeflow, LTAP, Lakebase, and Lakewatch, and what each announcement means for data and AI engineers.
Principles and Patterns of Building AI Agents: An Honest Review of Mastra's Free Two-Book Series
A grounded review of Sam Bhagwat's two free Mastra books, Principles of Building AI Agents and Patterns for Building AI Agents. Principles teaches what to build; Patterns teaches how to keep it alive in production.
30 Agents Every AI Engineer Must Build: An Honest Review After Three Months With the Book
An honest, in-depth review of 30 Agents Every AI Engineer Must Build by Imran Ahmad (Packt). Why the book is really a pattern library for production agent engineering, not a catalog of 30 demos.