software-engineering.
106 writings found
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Google's Gemini 4 Carbon: A New Era for AI-Powered Security
Google releases Gemini 4 Carbon, ranking #1 on Artificial Analysis Index with breakthrough cybersecurity and long-horizon agentic capabilities for developers.
Meta's AI Testing System Catches Bugs Before Production
Meta deployed Catching JiTTests to automatically generate and run tests on code diffs, catching 74 serious privacy bugs in H1 2026 with a 60% true-positive rate.
AI-Generated Tests Are Catching Real Bugs at Production Scale
Meta's Catching JiTTests demonstrate how LLMs can generate executable tests that catch bugs before code lands, achieving 60% true positive rates and preventing 20% of privacy incidents.
Treating Code Like Cattle: Immutable Infrastructure and AI-Generated Software
How immutable infrastructure principles reshape our relationship with code in an era of AI generation, and what developers need to rethink about system design.
How Meta Scaled Privacy Enforcement Without Breaking Production
PrivacyLib separates privacy requirements from system integrations, allowing Meta to enforce policies across hundreds of data systems at scale without constant rewrites.
The SaaS Apocalypse is Overblown, But the Build-vs-Buy Problem is Real
Netflix engineering leader Nivia Henry on why the SaaS death narrative misses the point, and what actually matters for infrastructure decisions in 2024.
The Two Specs Every Production System Has
Why your tests might miss what your system actually does, and how characterization testing catches regressions that intent-based tests never will.
Building Virtual Economies: What KursarScript Teaches Us About Digital Assets
Exploring KursarScript Programming Language and what its virtual economy design patterns reveal about the future of immersive digital commerce and asset management.
ChatGPT Spaces: Real-Time AI Collaboration for Engineering Teams
OpenAI merges ChatGPT and Codex into unified workspace. Exploring what ChatGPT Spaces means for distributed dev teams and multi-agent workflows.
Formal Methods Meet Developer Experience with Quint
Why TLA+ based specification languages matter for catching system design flaws early, and how Quint makes formal methods accessible to working engineers.
Human-on-the-Loop: How AI Agents Shift Engineering from Execution to Ownership
Meta's Forum app reveals how treating AI as a loop participant rather than autocomplete changes what engineers actually do. Verification, not generation, is the real multiplier.
Why Rust Wins Developer Hearts Through Compiler Constraints
Exploring how Rust's borrow checker, memory safety, and strict compilation make it the most loved language while creating ideal conditions for AI coding agents.
Why Rust's Strictness Makes It Perfect for AI Coding Agents
Exploring how Rust's compile-time guarantees and borrow checker create an ideal environment for AI-assisted development and why developers love it.
Gemini 4 Argon: What Frontier AI Means for Your Code
Google's new frontier model Argon raises the bar on reasoning, coding, and security. Here's what it means for developers building tomorrow's systems.
Private Processing: How Meta Built Confidential AI for Glasses
Meta's approach to hyper-personalized AI on wearables while keeping user data inaccessible even to Meta itself using confidential computing.