software-engineering.
81 writings found
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ZGateway: The Proxy That Controls Uncontrollable Scale
How Meta's ZGateway proxy layer solved the connection mesh problem at billion-operation scale by moving complexity from clients to infrastructure.
AI Security Discovery Needs Human Intelligence to Matter
Sam Curry on why AI finds vulnerabilities faster than ever, but building resilient infrastructure and shifting security left is how teams actually stay ahead.
Why Proxies Win at Scale: ZGateway's Lessons for Platform Teams
How Meta's ZGateway proxy tier solved the connection mesh problem at scale, and what this teaches us about infrastructure design choices.
Stack Overflow Brings Back Developer Story: What It Means for Your Career
Stack Overflow is resurrecting Developer Story to showcase individual developer expertise. Here's why this matters for your technical identity and the future of verification.
Why AI Coding Agents Should Target Java
Java's stability and massive ecosystem make it the ideal target for AI coding agents. Here's why that matters for your development future.
How Meta's ZGateway Proxy Solves the Million-Client Problem
Understanding how a shared proxy tier manages connection meshes, enables cross-client batching, and scales reliability at hyperscale infrastructure.
The Proxy Layer Pattern: Where Infrastructure Gets Smart
How Meta's ZGateway shows why interposing a managed tier between clients and backends solves problems no individual client library can.
Why Proxies Win at Scale: Learning from Meta's ZGateway
How interposing a stateless proxy tier between millions of clients and a shared backend solves reliability and efficiency problems that client libraries cannot.
MetaRoCE: Rethinking Network Transport for AI at Scale
Meta's new MetaRoCE protocol redesigns Ethernet transport for million-GPU clusters, prioritizing edge intelligence over fabric control. What this means for infrastructure engineers.
Why Lines of Code Still Matter When AI Writes Your Software
AI coding agents are changing productivity metrics. We need new frameworks to measure what agents actually deliver, and what gets lost in the speed.
Proving AI Agents Work: Why Lean Language Matters Now
Leo de Moura on using Lean to verify AI agent correctness. How automated reasoning and probabilistic models converge to build trustworthy systems.
Why Lines of Code Still Matter for AI-Assisted Development
Exploring how coding agents change productivity metrics, conceptual integrity, and why team structure still matters in the age of AI.
Why Lines of Code Still Matter When Agents Write Them
AI coding agents are changing productivity metrics. When agents can produce 1000 lines of debugged code daily versus 50-200 for humans, LOC becomes meaningful again - but only with discipline.
Lines of Code Still Matter When Agents Write Them
Why measuring productivity by lines of code makes sense with AI coding agents, and the real challenge isn't speed but maintaining conceptual integrity as code grows cheaper to write.
WhatsApp's On-Device ML for Scam Detection: A Privacy-First Approach
WhatsApp's new Scam Alert uses on-device ML to catch scams without accessing message content. Here's why this architecture matters for privacy-conscious development.