Deep dives into artificial intelligence tools, practical guides, and expert perspectives on the technologies shaping tomorrow.
21 articles found in AI Engineering
Cursor moved on from .cursorrules. Here is how Project Rules, globs, and team rules actually work in 2026, with rule patterns that stop code hallucinations and architectural drift in complex repositories.
Understand what RAG is in plain English: how the retrieval-augmented generation pipeline works step by step, why it beats fine-tuning for private or changing knowledge, and where you already use it daily in Copilot, File Search, and Gemini.
Stop guessing between RAG, fine-tuning, and long-context. This 2026 decision guide gives you a 5-question framework, an honest comparison table, and the platform reality behind each choice.
AskChem turns 147K chemistry papers into 2.4M claims, each tied to a DOI and a quote. Here is what its benchmark really shows and when claims beat chunks in a RAG pipeline.
Claude Code Projects gives you one coordinator chat that runs parallel cloud threads with shared memory. Here is how it works, who gets the beta, what it costs in plan limits and where it stops.
GPT-6 Astra is the first model OpenAI rates Critical for cybersecurity. Here is what the rating requires, what Astra did in testing, what the public model refuses and what it costs.
Spain's data protection agency received its first breach notification involving an AI agent. Here is what the AEPD confirms, what is still alleged, how the GDPR 72-hour clock applies and six controls to check.
TypeSafe launched Jev in September 2026, the first System One Model: an API that returns typed values, calibrated probabilities, and confidence instead of text. A clear look at what it returns, what it costs, and what is still unproven.
Akuity's Agentic Control Plane makes AI agents act under your identity, your permissions, and your audit log. The shadow-agent problem, explained simply.
