Engineering deep-dives, hiring intelligence, and career strategy — from practitioners.
Set up the open-source db-agent AI agent on Windows or Mac with Ollama and a free local Qwen model. Ask Postgres or SQLite questions in plain English. No API key, no cloud.
Deploy the open-source db-agent text-to-SQL agent on a free Databricks workspace with one labagent command. Mac and Windows steps, limits, fixes and FAQ.
A free 7B model with an ontology matched a 120B cloud model on a Databricks text-to-SQL test: 17 of 17 against 15. Setup, results and limits.
I went back through about 200 training outlines I have built since 2019 and charted five technology waves, from Hadoop to cloud, digital transformation, data platforms and AI, against real market data.
We track hourly GPU prices across 25 clouds every night. The cheapest H100 on our list is out of stock, and most providers do not publish stock at all. Here is what the data shows and how we handle it.
db-agent's isolated text-to-SQL agents now tip each other off on what's worth asking next, with no raw data crossing a security boundary. Embeddings, vector similarity, and RAG explained, with real code.
Why dev teams burn through Copilot, Claude Code, and Genie budgets in days — and the two disciplines (use the agent well, and use it only where input is non-deterministic) that bring AI spend back under control.
AI didn't kill DevOps — it evolved it. A practical look at what AI Cloud Engineering and AgentOps actually mean in 2026, who's hiring for it, and the skills worth investing in this year.
If you're learning AWS Redshift after PostgreSQL or Hive, the missing PARTITION BY clause is confusing. Here's how DISTKEY, SORTKEY, and zone maps replace partitioning in an AWS data lake and data warehouse — with side-by-side SQL examples.
A reference architecture for a text-to-SQL agent across Lakebase and Unity Catalog, using db-agent and your choice of LLM endpoint.
Lessons from teaching 10 people to build a text-to-SQL AI agent on Databricks in 2 hours — including the roadblocks. A guide for any team starting on Databricks.
AI-built apps don't land developer jobs. Notes from a live session with 40 engineers on what hiring managers pay for in 2026.
A practical guide to setting up vLLM inference, benchmarking with NVIDIA GenAI-Perf, and building an observability stack using Prometheus and Grafana.
A practical, stackable AI upskilling program covering LLMOps, RAG pipelines, and LLM agent development for enterprise teams.
Technical walkthrough and lessons learned from deploying DeepSeek 3.2 Exp on high-end NVIDIA H200 GPU infrastructure.
How AI-native development tools like All Hands AI, Devstral, and vLLM are rewriting the rules of software development.
How to apply DevOps principles to Databricks using Terraform for infrastructure and GitHub Actions for CI/CD automation.
Why DevOps and cloud infrastructure are now foundational to AI strategy across every industry.
A structured 60-day roadmap with hands-on projects, certifications, and job search strategies to land your first DevOps role.
A step-by-step guide to automating Databricks deployments using Infrastructure-as-Code — Terraform modules, Spark jobs, and GitHub Actions CI/CD.
