# LLM visualization

LangWatch Open-Source Tool: Making Every Token Cost in Claude Code Crystal Clear

LangWatch launches an open-source tool for Claude Code usage tracking — one command to trace token consumption, cache breakdowns, call chains, and terminal replay to optimize AI coding costs.

Jul 30, 2026·3 min

Building a Streaming LLM Backend in Go: Deep Dive into the SDK and React Frontend Library

Deep dive into an open-source Go SDK for building streaming LLM backends, covering streaming responses, tool-calling architecture, and companion React library for end-to-end integration.

Jul 30, 2026·5 min

MemBoostAI: A Deep Dive into the AI-Powered Daily Memory Training Tool

MemBoostAI is a memory training app combining cognitive science with AI. Through short daily practice, active recall, and gamified challenges, it helps users boost memory retention. A deep analysis of its features, science, and differences from traditional flashcard tools.

Jul 30, 2026·3 min

Medley: A Deep Dive into the Multi-Agent Orchestration Plugin for Claude Code

Medley is a free Claude Code plugin that decomposes complex dev tasks into live task graphs via /mission, orchestrating multiple AI agents with BYOK model support and built-in review cycles.

Prefactor: Production-Grade Monitoring and Quality Assurance Tool for Real-Time AI Agent Evaluation

Prefactor is a production-grade monitoring tool for real-time AI Agent evaluation, using live scoring, quality drift detection, and performance visualization to solve the core problem of Agents passing offline tests but failing in production.

Prefactor: Production-Grade Monitoring and Quality Assurance Tool for Real-Time AI Agent Evaluation

Prefactor is a production-grade monitoring tool for real-time AI Agent evaluation, using real-time scoring, quality drift detection, and performance visualization to solve the core pain point of Agents passing offline tests but failing in production.

Databox Artifacts: Conversational AI Analyst Generates Data Reports in One Click

Databox launches Artifacts, a conversational AI analyst that turns live data into polished reports, slides, and interactive documents with one-click sharing and PDF export.

Infrastructure Architecture for Agent Applications: Four Core Patterns Explained

A deep dive into infrastructure architecture patterns for production-grade Agent applications, covering state persistence, sandbox isolation, LLM observability, and cost control.

Infrastructure Architecture for Agent Applications: Four Core Patterns Explained

Deep dive into infrastructure architecture patterns for production-grade Agent applications, covering state persistence, sandbox isolation, LLM observability, and cost control.

Jul 29, 2026·3 min

TokenTown: A Visual Approach to Understanding How LLMs Predict the Next Token

TokenTown is an open-source visualization project that intuitively presents the internal token prediction process of LLMs using a town metaphor. Learn its design philosophy and educational value.

Full-Stack Machine Learning Project Repository Structure Guide: From Chaos to Convention

A detailed guide to organizing full-stack ML project repositories, covering directory structure design, data-code separation, and configuration externalization to help ML developers move from experimental code to production-grade engineering.

A Guide to Full-Stack Machine Learning Project Repository Structure: From Chaos to Convention

A detailed guide to organizing full-stack ML project repositories, covering directory structure design, data-code separation, and externalized configuration to help ML developers move from experimental code to production-grade engineering standards.

Jul 29, 2026·2 min

OpenReviewer: An Open-Source LLM Built Specifically for Scientific Paper Review

OpenReviewer is an open-source LLM for generating critical scientific paper reviews. This article analyzes its technical approach, use cases, and limitations.

Jul 29, 2026·2 min

OpenReviewer: An Open-Source LLM Built Specifically for Scientific Paper Review

OpenReviewer is an open-source LLM for generating critical scientific paper reviews. This article analyzes its technical approach, use cases, and limitations.

GitHub Daily · July 28: From Claude Code Skill-ification to AI Agent Governance, the Toolchain Matures

GitHub Trending July 28: Microsoft's agent-governance-toolkit covers OWASP Agentic Top 10, book-to-skill gains 366 stars showing Claude Code skill ecosystem potential, plus browser-based 3D and GIS tools.

How to Elegantly Access Top AI Models Like GPT and Claude from China

Chinese users face registration, payment, and network barriers when accessing GPT, Claude, and other top AI models. This guide covers AI aggregation platforms as a one-stop solution.

Jul 28, 2026·4 min

Statistical Foundations of Machine Learning: From MLE to EWMA and Deep Learning Optimizer Principles

Deep dive into core ML statistics: MLE derivations, multivariate Gaussian, linear regression and least squares equivalence, empirical risk minimization, method of moments, and how EWMA connects to Adam optimizer.

Backend Developer Transition to AI/LLM: 4 Core Skills and a Practical Learning Roadmap

Complete guide for backend developers transitioning to AI/LLM engineering. Covers the 4 core skills—Python, RAG, Fine-tuning, and Agents—with a phased learning roadmap and practical project advice.

Jul 28, 2026·4 min

Spring AI 2.0 in Practice: Building an Enterprise RAG Knowledge Base Q&A System with Cursor

Build an enterprise RAG knowledge base Q&A system using Spring AI 2.0, Cursor AI programming, Ollama local deployment, and Redis vector storage. Runs on just 4GB VRAM.