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…
Author: drweb
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…
TL;DR — Key Takeaways VS Code 1.133 moves AI agent sessions into a standalone Agent Host, separating them from the editor’s extension host. Microsoft has open-sourced the Agent Host Protocol (AHP) under the MIT license, aiming to make agent sessions interoperable across tools and IDEs. Agent sessions can now persist across VS Code windows and be accessed remotely over SSH or dev tunnels. Microsoft has shipped Visual Studio Code 1.133, and the headline change is architectural rather than cosmetic: AI agent sessions now run in a dedicated background process rather than within the editor’s extension host.The release, which rolled out…
Now we’re finally ready to make our offline sync flow actually work, but first we need to…