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CLAUDE.md Configuration Guide: Write Y…
A detailed guide to configuring CLAUDE.md with a six-section structure covering project overview, features, tech stack, directory structure, code conventions, and constraints to boost AI coding efficiency.
Claude Code Hidden Configurations Full…
Explore Claude Code's source code to unlock hidden configurations like Hooks, Agents, Permissions, and Memories. Transform your AI assistant into a customizable semi-automated development workflow.
Tech FrontiersWindsurf integrates Claude Opus 4.7 fast mode with 2.5x speed boost while retaining full intelligence. Analysis of its impact on developer productivity and AI coding tool competition.
ResearchDeep dive into how the Humanize framework transforms LLM tokens into engineering productivity via Agent Loops. Covers KDA winning CUDA kernel contests, virtual hardware optimization, and 50% research cost reduction.
TutorialsLearn how to deploy a PD-disaggregated SGLang inference cluster on AMD GPUs using a single config file, boosting LLM throughput and latency performance.
Tech FrontiersSGLang v0.5.12.post1 stability patch details: 12 critical fixes covering DeepSeek V4 garbled text and crashes, NIXL PD disaggregated inference logic, Blackwell B300 adaptation, and cold start optimization.
Tech FrontiersDeep dive into StepFun AI's Step 3.7 Flash, a 198B sparse MoE vision-language model with 256K context and 3-level reasoning, excelling in multimodal understanding, AI coding, and Agent tool orchestration.
Tech FrontiersLiquid AI releases LFM2.5-8B-A1B, a MoE model with 8B total params but only 1.5B active, matching 6B-class models in tool calling. Supports 128K context, local deployment, multilingual, with SGLang Day-0 support.
Industry InsightsSGLang co-hosts a finance AI inference event with Crusoe AI and Cloudflare, exploring LLM inference deployment in trading, risk management, and compliance — signaling Wall Street's shift to production-grade AI infrastructure.
Industry InsightsAMD Instinct MI355X achieves 5% lower TCO than NVIDIA B200 on DeepSeek-R1 disaggregated inference via SGLang+MoRI full-stack optimization with 1.25x per-GPU throughput.
Tech FrontiersCloudflare contributes decode KV cache offload and Mooncake recovery fixes to SGLang, resolving garbled output under high concurrency for Kimi K2.6 and enabling automatic fault recovery in distributed inference.
Tech FrontiersSGLang team hosts an Agent Loops Office Hour exploring inference optimization for agentic loops, covering KV Cache reuse, low-latency multi-turn dialogue, and tool calling techniques.
Llama 3.3 70B In-Depth Review: Testing…
Meta releases Llama 3.3 70B open-source model with just 70B parameters rivaling 405B performance. Tested on 13 logic, math, and coding questions, it passed 12 — reshaping the open-source model landscape.
BMad-Method: Building an AI Agile Deve…
Deep dive into BMad-Method, an open-source multi-agent framework simulating a full agile team—from business analysis to QA—supporting Claude Code, Cursor, and more.
Claude Code Source Code Study Guide: E…
Learn AI Agent development from Claude Code's 510K lines of source code, covering Agent Loop, context compression, multi-Agent orchestration, and two efficient study methods.
Spring AI Agent Utils: A Java Agent To…
Deep dive into Spring AI Agent Utils toolkit covering Skill modules, Ask a User Question, To Do Write, Auto Memory, and multi-Agent orchestration — empowering Java developers to build powerful AI Agents.
ABCoder in Practice: A Demonstration o…
A practical comparison using Hertz framework SSE services shows how ABCoder uses MCP protocol to let AI models consult real source code, solving LLM code hallucination problems.
Coze Workflow for Auto-Generating Emot…
A detailed breakdown of automating emotional short video production with Coze workflows — from script generation and TTS to CapCut draft packaging, all zero-code.
Tech FrontiersOpenAI launches Rosalind Biodefense, offering GPT-Rosalind to government agencies to accelerate pathogen surveillance, vaccine R&D, and pandemic preparedness using AI.
ResearchDeep dive into AISTATS 2024 paper MixupMP: revealing Deep Ensembles' fundamental UQ flaws and fixing them via Mixup augmentation and Martingale Posterior framework for better calibration and OOD detection.