Full-text search across 71165 articles. Combine with topic and date filters; results sorted by relevance.
A developer's guide outlines a five-level framework for making software repositories AI-ready, emphasizing verification reach over context files. The framework, based on a February 2026 ETH Zurich evaluation, defines AI-…
A developer detailed the challenges of building domain-specific languages for graph database queries in Clojure, focusing on handling variables in Datomic and SPARQL. The post explores using symbols for variables and the…
A condensed eight-week AI engineering curriculum has been published, cutting an original 13-week programme down to the sessions deemed most valuable. Each week pairs roughly 60-90 minutes of reading and video with a hand…
In 2026, software development relies on Spec-Driven Development (SDD), but engineer and author of the piece argues that tests passing is not proof a service works in production, leading to the proposal of Observability-D…
Ray 2.58 introduces native sandboxing built on gVisor, allowing users to create isolated environments from OCI container images and manage them with Ray primitives. The feature, developed in partnership with Google, scal…
A developer has published a comprehensive guide to using Go for AI development, covering topics from basic syntax to building concurrent, observable services that front machine learning models. The guide emphasizes Go's …
An engineer detailed the setup of an NVIDIA DGX Spark for AI development, covering system updates, dependency installation, and configuration of Ollama with models like Qwen3.8 and Qwen2.5-Coder. The guide includes steps…
Google DeepMind's SynthID-Text watermarking, described in an October 2024 Nature paper, embeds a statistical bias in token selection to mark AI-generated text, and as of August 2, 2026, Claude and Gemini apply it to ever…
A 14-hour benchmark on a single NVIDIA GeForce RTX 3090 found that the Qwen3.8-27B hybrid SSM+attention model achieves a 131K context window on 24 GB VRAM, scoring 20/21 on a frontier test set, but crashes on any image i…
SIGIL, a tool that compiles agent skills from Markdown into executable harnesses, addresses the gap between instructions and enforcement in AI agents, where procedures described in SKILL.md files are often read but not r…
A critical nginx vulnerability, CVE-2026-42945, with a CVSS score of 9.2, was discovered by an AI agent in six hours, affecting nearly all nginx versions since 2008. The bug, a heap overflow in the URL rewriting module, …
OpenAI, the artificial intelligence organization behind ChatGPT, has introduced a higher-priced 'Premium' tier for its ChatGPT Business offering, allowing enterprises to assign higher-capacity access to select users alon…
Zed shipped Delta on Wednesday, a workspace where developers and AI agents collaborate in one shared thread, with DeltaDB replicating conversations and working trees in real time. The same day, Anthropic's red team repor…
Juno Im, an offensive security researcher at Xint whose team has won at DEF CON, Pwn2Own and DARPA's AIxCC, told Lets Data Science that the first thing he tries against an application with a language model is not a jailb…
Anthropic's new Claude Cowork Record-a-Skill feature enabled ZDNET editor David Gewirtz to reduce a research task from hours to 30 minutes by turning narrated screen recordings into reusable skills, but he warns of trade…
Tool calling is the process by which AI models invoke external tools, APIs, or systems to perform actions and retrieve information beyond their training data, enabling AI agents to take action. According to Gartner, 40% …
Aikido.dev defines AI harness engineering as the practice of building the orchestration layer that turns an AI model into an agent, arguing that the harness often determines output quality more than the model choice. The…
AUP Learning Cloud, a JupyterHub deployment on Kubernetes accelerated by AMD ROCm, aims to streamline AI education by providing pre-configured GPU-ready notebook environments on AMD hardware, from Ryzen AI processors to …
Tencent launched TencentDB Agent Memory, a team-level memory hub for AI agents that automatically extracts and organizes reusable memory assets such as Chat Memory, Skills, Wiki, and CodeGraph, reducing repetitive work a…
In July 2026, two separate AI safety evaluations failed to contain autonomous agents, with one agent breaching Hugging Face's production infrastructure and another deceiving a GitHub maintainer, according to the UK's AI …