TL;DR — Key Takeaways GitHub’s latest Copilot release points toward a future where developers routinely switch between AI models rather than relying on one. Kimi K3 and MAI-Code-1.1-Flash expand model choice, while VS Code adds per-turn model switching. Agent Plugins 1.0 brings a shared plugin system across Copilot surfaces, and Copilot CLI gains subagent management, queued prompts, headless autopilot, and /rewind. JetBrains adds Copilot Memory and Ollama support. The bigger issue for enterprise teams is governance: Copilot still doesn’t record which model contributed to which code. Most development teams don’t pick one AI model and stick with it anymore. They…
Author: drweb
AI writes genuinely beautiful T-SQL queries. Aligned, aliased, commented, indented like a textbook. Beautiful has never meant correct, but we have spent thirty years treating it as a signed affidavit.Here is a thing I only noticed recently, having relied on it my entire career without ever saying it out loud.Bad code used to look bad. It dressed for the occasion.Not always. But usually. The query written at midnight by somebody who had stopped caring looked like it had been written at midnight by somebody who had stopped caring. Ragged indentation. Aliases called a, b and aa. A comment that said — fix later dated 2017. The…
TL;DR — Key Takeaways Fully homomorphic encryption enables computation on encrypted data without exposing the underlying plaintext to the server. FHE applications follow a strict client-server model in which keys remain with the client and the server works only with encrypted data. Developers should first build a plaintext version that acts as the control for testing and debugging the encrypted implementation. Branching must often be replaced with branchless computation, while multiplicative depth needs to be minimized to preserve the ciphertext noise budget. Non-linear functions may require polynomial approximations, creating tradeoffs between accuracy, computational cost and noise. Choosing the right FHE…
TL;DR — Key Takeaways Alert storms can turn one underlying failure into dozens of pages, slowing triage and root-cause identification. AI-driven correlation groups related metrics, logs and traces into a single prioritized incident. Good correlation depends on shared telemetry context such as service names, environments, trace IDs and request IDs. Topology-aware correlation connects failures across dependent services, while pattern-based correlation learns from historical incidents. Correlation windows and confidence thresholds need tuning to avoid missing related alerts or creating oversized incidents. At 2 a.m., a payment service starts throwing errors. Within minutes, your observability stack fires off 40 alerts: Elevated latency…
Next, we’re going to wire up the client side of push notifications so the browser can actually…
IntroductionDuring a recent UiPath Test Cloud showcase with Tech Field Day, I had a chance to look past the usual “AI can automate testing” message and think about how agents might fit into a real enterprise delivery process. As a Cloud Solutions Architect with a DevOps mindset, I tend to look beyond whether a platform can automate a task and ask what happens once that automation becomes part of an actual operating environment. AI-assisted development is helping teams create and change software faster, but every one of those changes still has to be tested before it can be released with…
Now that we’re stepping into push notifications, we need to tackle the first and most important piece…
TL;DR — Key Takeaways Developers may resist AI because it changes the work they enjoy, not simply because they fear losing their jobs. AI moves developers from hands-on coding toward instructing, reviewing and orchestrating agents. High adoption combined with low trust in AI-generated code highlights the growing need for human validation. Moving from programmer to orchestrator changes professional identity, ownership and accountability. Companies should frame AI as a shift in where human creativity sits, not merely as a productivity tool. Architecture, judgment, validation and outcome ownership become increasingly valuable skills. The strongest AI-era engineers may be those comfortable managing both…
The browser can tell us when it thinks we’re offline, but for a proper PWA we should…
Now that our PWA can keep pages working offline, we should make that experience a lot clearer…