ai
11 posts tagged with "ai"
Rust & AI Weekly #4: robots get a stable runtime, proxies get a framework, and rewrites get a receipt
Today's issue: copper-rs hits 1.0 after 1043 pull requests, rama ends a five-year gestation with a release-train promise, and Bun's AI-powered Rust port comes with a $165k invoice. Each entry carries maintenance, latest-release, and adoption signals.
The Rust & AI Engineer's Learning Stack: 15 Resources Vetted Like Dependencies
Courses, books, and learning platforms for Rust and AI engineers, evaluated with the same due diligence you'd apply to a production dependency. Currency, stewardship, real cost, and what completing each one actually proves. Verified July 2026.
Rust & AI Weekly #3: agents get a protocol, the desktop gets agent-ready, and dalek breaks everything (on schedule)
Issue three of the vetted Rust+AI roundup. Zed's agent protocol goes multi-vendor, Slint embeds an MCP server in every GUI, curve25519-dalek ships a coordinated major, googletest-rust gets forked by its own author, and kache earns a verdict upgrade. Each entry carries maintenance, latest-release, and adoption signals.
Rust & AI Weekly #2: a P2P 1.0, agents that out-benchmark Python, and Rust creeping onto the GPU
Week two of the vetted Rust+AI roundup — the most-adopted Rust agent framework, two newcomers that beat LangGraph on latency, Hugging Face's ML stack, Rust-native training with Burn, and a genuine P2P 1.0. Each entry carries maintenance, latest-release, and adoption signals.
Rust & AI Weekly #1: an agent from Block, edge inference, and a vector DB Netflix trusts
A curated, vetted roundup of real, current Rust+AI tools — agent frameworks and the official MCP SDK, inference engines, vector/RAG crates, and the dev tools worth a bookmark. Each entry carries maintenance, latest-release, and adoption signals.
Rust for AI: A Crate Radar on the Agent and Inference Stack
A Rust Crate Radar digest of the crates building the Rust+AI stack — rig, candle, mistral.rs, burn, and swiftide — each scored against the same engineering-leadership rubric, each ending in a one-word verdict.
Rethinking Technical Interviews - What Blackjack-Interview Taught Me About Hiring in the AI Era
My view on interviews changed when I built blackjack-interview. It showed me what hiring should measure in 2025 - judgement, adaptability, and the ability to ship real software with modern tools.
Building Personalized AI with RAG - AnythingLLM and Groq Architecture
Deep dive into RAG architecture - how to transform generic LLMs into personalized AI assistants using AnythingLLM and Groq for content generation.