Engineering Blog — Page 2
Practical notes on AI systems, product engineering, architecture, and shipping reliable software.
Antitrust, App Stores, and DMA: How Big Tech Regulation News Affects Your Product Roadmap
EU DMA, US antitrust cases, and app store fee pressure—what software businesses should watch when platforms change rules.
Big Tech Layoffs and the Engineering Talent Market: What It Means for Hiring in India, UK & EU
How waves of big-tech restructuring reshape senior hiring, contractor demand, and the case for dedicated product engineering partners.
NVIDIA, GPUs, and the New Scarcity: What AI Infrastructure News Means for Your Roadmap
GPU supply, cloud instance pricing, and inference optimization—how NVIDIA-centered infrastructure news should change product and capacity planning.
Microsoft Copilot Everywhere: Opportunity or Commodity Threat for Software Vendors?
How Microsoft’s Copilot expansion across Office, Windows, and GitHub pressures independent SaaS—and where specialized products still win.
Amazon AWS and the Enterprise AI Stack: Bedrock, Agents, and the Gravity of the Cloud Bill
AWS AI news for CTOs already on Amazon: Bedrock model choice, agent frameworks, data gravity, and controlling AI-driven cloud spend.
Meta’s Open-Source AI Strategy: How Llama Changes the Build Calculus for Startups
Why Meta open-sources frontier-class models, when self-hosting Llama makes sense, and when API models still win for product teams.
Apple Intelligence and On-Device AI: Privacy Marketing or a Real Product Shift?
What Apple’s on-device and Private Cloud Compute approach means for app builders, data strategy, and competing with cloud-first AI products.
OpenAI vs Microsoft vs Google: What the AI Platform Race Means for Product Companies in 2026
How the OpenAI–Microsoft partnership, Google Gemini, and model commodity pressure change build-vs-buy decisions for B2B software teams.
When Not to Migrate: Fix, Buy, or Retire Instead
Honest decision guide: when migration is the wrong investment—stabilize, repurchase SaaS, retire systems, or contain legacy with a facade.
Application Migration Checklist for CTOs and Product Leaders
A field checklist for application migration: stakeholders, inventory, security, testing, cutover, communications, and post-migration hypercare.