At last week’s Google Cloud Summit in London, two top database executives—Sailesh Krishnamurthy (engineering VP) and Yasmeen Ahmad (head of Agentic Data Cloud)—sat down with us to sketch out a very different future for how we’ll interact with data. Their big prediction? In three to five years, humans won’t be clicking around data platforms anymore. […]
The New Bottleneck: Not Writing Code, but Checking ItFor the last few years, AI coding assistants have been on a tear—they’re generating massive amounts of code faster than ever. But here’s the catch: all that code still needs a human (or a very slow process) to review it, test it, and make sure it won’t […]
The Headline Result: From Two Months to a Week and a HalfA construction tech company called Trunk Tools just pulled off something impressive: they shrunk a painful 60‑day document review process down to just 10 days. How? By throwing out the rulebook on generic AI and building their own specialized, three‑layer system tailored specifically for […]
The Surface: GitHub Is Still HugeBy the numbers, GitHub is crushing it. Someone new joins every second. It holds over 600 million repositories, and developers pushed nearly a billion code updates in 2025 alone. On paper, it’s the undisputed king of code hosting. The Undercurrent: A Restless RumbleBut look past the stats, and you’ll notice […]
The Problem: AI Assistants Drowning in ToolsImagine giving a brilliant assistant access to a warehouse full of 2,000 different gadgets, but for every single request, they have to mentally scan every shelf before picking one. That’s the current state of many enterprise AI agents. They get overwhelmed, waste massive amounts of processing power (and money), […]
Key Takeaways The Friday Afternoon That Changed Everything The author deployed an updated RAG pipeline on a quiet Friday afternoon. All the evals passed. Similarity scores looked great. He went home for the weekend feeling confident. By Monday morning, the system was confidently serving up outdated pricing data to customers. The embedding model had drifted […]
Key Takeaways The Trust Gap in AI Observability When your software crashes, you get a stack trace. When a database query times out, you get an error code. These failures are deterministic—you can reproduce them, fix them, and move on. AI doesn’t work that way. It drifts. It hallucinates. It can be perfectly fine for 999 […]
Key Takeaways The 15‑Minute Wall Is Gone For years, AWS Lambda had a hard stop at 15 minutes per invocation. That worked fine for quick triggers and micro‑services, but anything that needed a bit more time—think data processing, batch jobs, or interactive coding sessions—was out of luck. Enter Lambda MicroVMs. Built on Firecracker (AWS’s own lightweight […]
Key Takeaways Preface Mobile apps live in a world of uncertainty. Users want instant loading, offline functionality, real-time updates, and seamless data saving—even when their connection keeps dropping. While MVP and CLEAN Architecture provide solid foundations for separating concerns, they often create more problems than they solve when applied to the reactive, resource-constrained world of […]
Most business leaders are still asking the wrong question. They want to know: Which model is the smartest? Which coding agent is fastest? Who just topped the leaderboard? It’s understandable. It’s also increasingly irrelevant. The real breakthrough happening right now isn’t about raw AI intelligence. It’s about harness engineering—the infrastructure, workflows, controls, and human oversight that turn […]