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 […]
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, […]
Picking a Map SDK? Don’t Overthink Features, Think About Your Future Let’s be honest. The best map technology for your Android team is usually the one they already know and the one that fits your budget. It sounds way less exciting than a flashy feature-by-feature comparison chart, but in real-world projects, it’s the truth. Teams […]
Early enterprise AI projects were held back by limited model capabilities and tiny context windows. Today, those technical barriers are mostly gone. AI systems can process massive amounts of information, and access to powerful models is no longer the bottleneck. But here’s the catch: performance hasn’t improved at the same rate. Many companies still struggle […]
NVIDIA NemoClaw is an agent runtime and orchestration layer that coordinates AI execution across edge devices and cloud systems during live workflows. Distributed AI architectures are necessary when applications require low-latency interaction, local context awareness, and controlled cloud usage. NemoClaw determines where tasks run based on intent, context, and execution requirements – rather than fixed […]
A recent roundtable discussion revealed that financial institutions may be softening their long-standing resistance to core IT renewal – as AI raises the stakes and exposes the limitations of legacy systems. The debate, hosted by SoftServe and Google Cloud at London’s House of Lords, brought together senior technology and operations leaders from across financial services. […]
AI becomes the brain of your business For the past few years, companies have been testing Generative AI in small pilot projects. That trial phase is ending. AI is now becoming a core part of daily work – answering customer questions on its own, sorting requests, and moving tasks to the right team without waiting […]
Key points from this article: The Problem with Most Supply Chains Today Supply chains face constant changes: shifting customer demand, weather events, political issues, and more. The old way of doing things — analyzing data after the fact — is too slow. Even digital supply chains struggle if they only look at past data. But […]