Ask us in a formal meeting, and we’ll give you the company line. We’ll talk about rigorous CI/CD, clean architecture, and maintainable code. We’ll throw around weighty words like determinism, idempotency, and domain‑driven design. We sound like model engineers. But after hours, when the managers are gone and our IDEs are in dark mode, the truth comes out. […]
Site Reliability Engineers have one of the toughest gigs in tech. They’re the ones who get woken up at 3 a.m. when a system goes haywire, tasked with untangling messy outages while keeping their cool. Their real job, though, isn’t just putting out fires—it’s giving development teams the insights they need to build more robust, […]
If you run security for a 5G core network, you have a data firehose problem. In an hour, your systems generate more telemetry than most enterprise SOCs see in a week. But the real bottleneck isn’t triaging all those alerts—it’s that your detection engineers can’t write new rules fast enough to keep up with attackers. […]
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 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 By Monday morning, the system was confidently serving up outdated pricing data to customers.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 […]
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 […]
Software development has always been about refining our craft—better methods, better tools, faster cycles. But something fundamentally different is happening now. We’re moving beyond AI that suggests code to AI that takes initiative. Welcome to the era of Agentic AI. These aren’t your average autocomplete tools. Agentic systems can set their own goals, plan out multi-step tasks, take action, […]
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