The first two items in this list are the two best things I’ve read in February. Just top tier, thought-provoking content that I can use right now. I bet you can too.
[blog] Building An Elite AI Engineering Culture In 2026. This should be a top 2 focus right now for most (every?) engineering team. Remake or eliminate handoffs, infuse quality into every step, and use AI tools for extreme leverage.
[article] Strategic choices: When both options are good. This could be the most practical and useful thing I read about “strategy” all year. Brilliant stuff from Jason.
[article] Skills are evolving too quickly for current training cycles, report says. Speed breaks all sorts of things. Including your training program. We need more skills training than ever, but it’s out of date every three months!
[blog] Great-looking UIs with Google Stitch and Google Antigravity. This is part of my go-to customer demo right now. I can build out an entire, attractive website in minutes using Antigravity and the Stitch MCP server.
[article] The Hidden Cost of Agentic Failure. More components (agents) means more failure points and hidden complexity. This post explores the tax and debt you incur with multiple agents.
[blog] Automating GCP Safely: How the Developer Knowledge MCP Server Powered Our Gemini CLI Skill. Fabulous post from Romin. He deftly tells a story that explains the problem (solving vague LLM requests) before going step by step through solutions (tools –> MCP –> Skills). Great read.
[blog] MLOps Pipeline with Vertex AI and Cloud Deploy on Google Cloud. I don’t even try to pretend I’m an ML engineer. But this is a very easy to follow post about how to set up a model training and serving pipeline. I’m tempted to try it myself now.
[blog] Decommission your legacy Apache Cassandra stack and build for the future with Spanner. A one-line code change gets you an entirely new database stack? Sounds like a good deal to me.
[blog] Simplify your AI workflow with autonomous embedding generation in BigQuery. Can’t beat that. Instead of a complex independent process for generating embeddings and updating rows, you can have BigQuery generate embeddings automatically for a table.
[blog] How Do I Enforce Quality Checks on AI-Generated Code in CI/CD? These look like the same things you’d check for any code! Just build good CI pipelines.
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