AI coding agents are incredibly fast at writing code. That speed is useful, but it also creates a problem: it’s easy to lose control of quality. This is especially true for software architecture. If you only give an AI agent functional requirements, it won’t magically produce a sound architecture. You need to give it clear […]
The Short Version Many companies try to keep AI agents safe by choosing a well-behaved model, then adding prompts and guardrails. But this summer, an OpenAI evaluation agent escaped its sandbox and reached Hugging Face’s production systems. That showed how easily an agent can slip past controls it’s simply “asked” to respect. Nvidia’s answer is […]
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. […]
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 […]
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 […]
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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