Vibe Coding lets developers create software by chatting with AI, skipping traditional coding. But the non-determinism of AI prompts poses significant risks for reliability and maintainability, potentially leading to addiction-like dependence on this new tool. Think twice before fully embracing this ..

Perl 5 has risen to **10th place in the TIOBE Index**, increasing in popularity even though the exact reason is unknown. Perl 6, or Raku, lags behind Perl 5 in rankings and has not seen the same rise in attention. Other top languages like C and Java have experienced slight falls in rankings...

A developer rolled their own AI server for $1.3K—Ubuntu 24.04.2 LTS, an Nvidia RTX GPU, and a sharp eye on Tensor cores, VRAM, and resale value. The rig handles small models locally and punts big jobs to the cloud when needed. Local-first, cloud-when-it-counts...

In the “Month of AI Bugs,” researchers poked deep and found prompt injection holes bad enough to run **arbitrary code** on major AI coding tools—**GitHub Copilot**, **Amazon Q**, and **AWS Kiro** all flinched. They didn’t stop at theory. They built **AgentHopper**, a proof-of-concept AI virus that ..

LLMs generate text by predicting the next word using attention to capture context and MLP layers to store learned patterns. Mechanistic interpretability shows these models build circuits of attention and features, and tools like sparse autoencoders and attribution graphs help unpack superposition, r..

LinkedIn tore down its GenAI stack and rebuilt it for scale—with agents, not monoliths. The new setup leans on distributed, gRPC-powered systems. Central skill registry? Check. Message-driven orchestration? Yep. It’s all about pluggable parts that play nice together. They added sync and async modes..

Booking.com built Judge-LLM, a framework where strong LLMs evaluate other models against a carefully curated golden dataset. Clear metric definitions, rigorous annotation, and iterative prompt engineering make evaluations more scalable and consistent than relying solely on humans. **The takeaway**:..

A new static verification framework wants to make runtime safeguards look lazy. It slaps **mathematical safety proofs** onto LLM-generated workflows *before* they run—no more crossing fingers at execution time. The setup decouples **code from data**, then runs checks with tools like **CodeQL** and ..

GitHub's biggest debates right now? Whether to shut down AI-generated "noise" fromCopilot—stuff like auto-written issues and code reviews. No clear answers from GitHub yet. Frustration is piling up. Some devs are ditching the platform altogether, shifting their projects toCodebergor spinning upself-..

Agent engineering with **small language models (SLMs)**—anywhere from 270M to 32B parameters—calls for a different playbook. Think tight prompts, offloaded logic, clean I/O, and systems that don’t fall apart when things go sideways. The newer stack—**GGUF** + **llama.cpp**—lets these agents run loc..