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Explore our complete collection of 165 articles. Expert insights on AI, technology, and software development.
JetBrains' New Language Lets You Talk to LLMs in Specs, Not English
CodeSpeak, built by Kotlin creator Andrey Breslav, is a specification language that compiles structured English into production code via LLMs—betting that natural language prompts are too ambiguous for serious software development.
SecuritySecuring AI Workloads: Why Containers Are AI's Biggest Attack Surface
AI workloads deployed in containers inherit every existing container vulnerability—plus a new class of AI-specific threats including model theft, prompt injection via sidecars, and supply chain attacks on model weights. Here's what practitioners need to know.
AI SafetyDetecting AI Content in 2026: The Arms Race Nobody Is Winning
AI content detectors claim 99% accuracy but consistently fail in real-world conditions—flagging innocent students while missing actual AI use. Here's why the arms race has no winner, and what educators and publishers should do instead.
AI ToolsGitHub Copilot vs Cursor vs Claude Code: The 2026 AI Coding Showdown
GitHub Copilot dominates enterprise headcount, Cursor owns developer wallets with $2B ARR, and Claude Code leads raw benchmark performance. Which one belongs in your workflow? It depends on what you're building.
AI IndustryI Was Interviewed by an AI Bot—Here's What Nobody Warns You About
AI-conducted job interviews have moved from fringe experiment to standard practice, handling 1 in 10 U.S. job interviews through platforms like Paradox and HireVue. The experience is unsettling, the bias risks are real, and the legal protections are actively weakening.
AI EngineeringSWE-Bench's Dirty Secret: AI-Passing PRs That Real Engineers Would Reject
New research from METR shows roughly half of SWE-bench-passing AI-generated PRs would be rejected by actual project maintainers—exposing a 24-percentage-point gap between benchmark scores and real-world code acceptability.
SecurityDocument Poisoning: How Attackers Are Corrupting Your AI's Knowledge Base
RAG systems trust their document stores—and attackers know it. Document poisoning injects false or malicious content into knowledge bases, causing AI systems to generate attacker-controlled output for every user who asks the right question. Here's what the research shows.
SecurityHow Researchers Hacked McKinsey's AI Platform—and What It Reveals
Security researchers at CodeWall used an autonomous AI agent to breach McKinsey's Lilli platform in approximately two hours, exposing 46.5 million messages through SQL injection—a decades-old technique that enterprise AI teams consistently fail to prevent.
AI InfrastructureMicrosoft's BitNet: How 1-Bit LLMs Could Make GPU Farms Obsolete
Microsoft's BitNet inference framework runs billion-parameter LLMs on ordinary CPUs using ternary weights, delivering up to 6x faster inference and 82% lower energy consumption—potentially upending the assumption that AI inference requires expensive GPU hardware.
AI EthicsWrongfully Jailed by an Algorithm: AI Facial Recognition's Misidentification Crisis
At least eight innocent people—nearly all Black—have been wrongfully arrested because police trusted AI facial recognition systems that government studies show misidentify darker-skinned faces at rates 10 to 100 times higher than white faces. The crisis isn't the technology alone; it's the institutional trust placed in documented bias.
Software EngineeringAI-Generated Docs: Better Than What You Were Writing?
AI documentation tools can produce consistent, well-structured output faster than most developers write—but quality depends heavily on what you're measuring. Coverage and freshness are where AI wins; depth, accuracy, and contextual judgment are where human writers still lead.
AI EngineeringHugging Face Skills: Pretrained Agent Capabilities
Hugging Face Skills are standardized, self-contained instruction packages that give coding agents—Claude Code, Codex, Gemini CLI, and Cursor—procedural expertise for AI/ML tasks. Launched in November 2025, the Apache 2.0-licensed library reached 7,500 GitHub stars by early 2026 and provides nine composable capabilities from model training to paper publishing.
AI EngineeringSuperpowers: The Agentic Framework Replacing Your Dev Process
Superpowers is an open-source agentic skills framework by Jesse Vincent that enforces structured software development workflows—brainstorming, planning, TDD, and subagent coordination—on top of AI coding agents like Claude Code, turning them from reactive assistants into disciplined developers capable of autonomous multi-hour sessions.
Web PlatformWebAssembly AI: Running Models in the Browser
WebAssembly enables production-ready AI inference directly in the browser—no server required. Learn how WASM, WebGPU, and modern frameworks make client-side ML practical, what the performance trade-offs actually look like, and when to use it.
AI ModelsClaude's Web Search Changes Everything for AI Research
Anthropic's web search integration removes the static knowledge ceiling from Claude, enabling real-time retrieval directly inside the reasoning loop—with verifiable citations, domain filtering, and a new dynamic filtering layer that cuts token use by 24% while improving accuracy by 11%.