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Quadruped robots achieve 5+ m/s running speed with payload and off-road capability. Explore how RL Sim-to-Real methods break the impossible triangle of speed, load, and terrain adaptability.

Bun runtime now generates a CLAUDE.md file by default with bun init, signaling AI assistants becoming first-class citizens in the development toolchain.

GitHub upgrades supply chain defenses for npm and Actions with provenance attestation, least privilege enforcement, and anomaly detection to combat attacks.

GitHub upgrades supply chain defenses for npm and Actions with provenance attestation, least privilege principles, and anomaly detection across multiple layers.

Exploring overlooked storage and caching bottlenecks in CI/CD pipelines, how Blacksmith redesigns storage architecture to accelerate builds, and why storage is a rebirth opportunity in cloud-native.

Ollama lists Kimi 3 with extra pay-per-use fees, breaking subscription expectations and sparking debate over open-weight models and AI service pricing tiers.

Is Bun being rewritten in Rust? This article explores the community debate and analyzes why Bun chose Zig over Rust, examining the engineering tradeoffs between Zig and Rust in systems programming.

A ten-year open source maintainer shares how to build a universal tag-to-release GitHub Action, covering its opinionated design philosophy, dogfooding validation, and AI-assisted development.

Five key AI industry trends: Doubao surpasses 180 trillion daily calls, OpenAI's in-house AI chip, NVIDIA's $3-4 trillion compute forecast, China catching up, and the GPT-5.6 cheating scandal.

In-depth review of Panel AI v1.1.1: second-level installation, no-public-IP networking, batch compute cluster management. Learn how enterprise AI on-premises deployment barriers are dramatically lowered.

Alibaba's Qwen3 Max (2.4T MoE), ByteDance's Seed Audio 1.0 with precise timestamp control, and Kunlun Wanwei's Matrix-3.5 open-source world model — a deep dive into three major Chinese AI releases.

A Cursor ML engineer breaks down AI training methodology: outer/inner loop acceleration, preventing reward hacking, textual feedback, and recursive self-improvement (RSI) where models train the next generation.

Qwen3 deep dive: 6 Dense & MoE models from 0.6B to 235B, world's first open-source hybrid reasoning model, matching Gemini 2.5 Pro. Complete guide for developers and enterprises.

GLM open-source LLM claims 1M-token context, local deployment, and coding ability rivaling Claude Code. We break down the three key selling points and evaluate the hype vs. reality.

Ollama has 9M active developers and 170K GitHub stars. This guide covers its features, architecture, business model, and use cases for running LLMs locally.

A deep dive into Loop Engineering: how multi-agent collaborative dev systems achieve automated coding loops through workflow scheduling, step isolation, and validation.

Forge is an open-source Python middleware for local models (Ollama, llama.cpp, vLLM) that boosts tool-calling reliability via three-layer guardrails: validation, rescue parsing, and retry.
Java Local LLM Inference: Low-Latency …
Learn how Java and OpenJDK Panama FFM API enable local LLM inference. Explore the technical foundations, JVM ecosystem benefits, and low-latency AI deployment in enterprise Java systems.

A deep dive into Spring AI 2.0: provider-agnostic APIs, RAG with vector databases, and how Java developers can build LLM apps using the Spring ecosystem.