#ToB technology selection
49 related articles
·2 min
LangChain or LangGraph? Framework Choices for Production-Grade AI Applications
In-depth analysis of LangChain vs LangGraph differences, why teams are migrating to LangGraph for production AI apps, and framework selection guidance based on project complexity.
Read more →
·2 min
LangChain or LangGraph? Choosing the Right Framework for Production-Grade AI Applications
In-depth analysis of core differences between LangChain and LangGraph, exploring why more teams are migrating to LangGraph for production AI apps, with framework selection guidance.
Read more →
·3 min
ChatGPT Helps a Paralyzed Brother Regain the Ability to Express Himself: A Real-World Case of AI-Assisted Communication
A brother used ChatGPT to build a custom AAC communication system for his paralyzed, nonspeaking sibling with a rare disease, transforming him from yes/no responses to independent expression.
Read more →
·3 min
ChatGPT Helps a Paralyzed Brother Regain the Ability to Express Himself: A Real Case of AI-Assisted Communication
A brother used ChatGPT to build a custom AAC communication system for his paralyzed, nonspeaking sibling with a rare disease, transforming him from yes/no responses to independent expression. An open-source project showing AI's power for overlooked disability communities.
Read more →
·6 min
Harness Engineering: From Context Engineering to the Third Phase of AI Programming
Explore Harness Engineering: the next evolution beyond context engineering for AI programming. Learn how to build enterprise-grade Skill systems and deliver real projects with mid-tier models.
Read more →
·3 min
Agent Skills Explained: Solving the MCP Context Bloat Problem
Deep dive into Anthropic's Agent Skills mechanism, explaining how Progressive Disclosure solves MCP context bloat and tool calling accuracy issues in AI agents.
Read more →
·3 min
Cross-Region Packet Loss Monitoring in Practice: Tool Selection and Deployment Guide
A systematic guide to cross-region packet loss monitoring covering core challenges, tool comparison (MTR, SmokePing, PRTG, Zabbix, ThousandEyes), and a self-hosted deployment solution using Prometheus + Grafana.
Read more →
·2 min
AI Large Model Learning Roadmap: A Complete Five-Stage Guide from Zero to Independent Deployment
A complete 5-stage AI large model learning roadmap — from Python basics and prompt engineering to RAG pipelines, Agent development, and private model deployment.
Read more →
·3 min
Getting Started with LangChain 1.3: Building Intelligent Agent Applications with Deep Agent
Learn LangChain 1.3 core concepts including LLM model abstraction, RAG retrieval-augmented generation, and Agent orchestration. Build a Deep Agent with planners, tools, and reflection modules.
Read more →
·3 min
Complete AI Agent Development Learning Path: From Core Principles to Enterprise Deployment
A structured AI Agent learning path covering core principles, prompt engineering, tool use, multi-agent systems, and frameworks like LangChain, CrewAI, and Dify for enterprise deployment.
Read more →
·3 min
LangChain4j Getting Started Guide: A Java Engineer's Fast Track to AI Application Development
LangChain4j is the AI application development framework built for Java engineers. Integrate DeepSeek, Qwen, and more into Spring Boot — no Python required.
Read more →
·6 min
OpenAI Merges ChatGPT and Codex: The Super App for the AI Agent Era Is Here
OpenAI merges ChatGPT and Codex into a super app and releases three new GPT-5.6 models: Sol, Terra, and Luna. A deep dive into four hands-on workflows—Computer Use, Loops, and multi-threading—for the AI agent era.
Read more →
·3 min
Deep Dive into gRPC: Building High-Performance Microservice Communication with HTTP/2 + Protobuf
An in-depth analysis of gRPC's core architecture: HTTP/2 multiplexing, Protocol Buffers serialization, and unified multi-language implementation, covering microservice communication and cloud-native integration.
Read more →
·5 min
GPT-5.6 Launches: Comprehensive Upgrades to ChatGPT Work, Sites, and Desktop Client
OpenAI releases the GPT-5.6 model family, launching enterprise-focused ChatGPT Work, one-click ChatGPT Sites, and a major desktop client upgrade, with coding now ahead of rivals. Meta, Google, and Kimi follow intensively.
Read more →
·4 min
ChatGLM Large Model Development Tutorial: From Zero to Enterprise Deployment
Systematically learn ChatGLM large model development, covering Transformer principles, RAG, private deployment, fine-tuning, and Agent development, with a roadmap and hands-on cases.
Read more →
·5 min
28 Enterprise-Grade AI Agent Projects: A Complete Guide That Even Beginners Can Deploy
A collection of 28 fully reproducible enterprise-grade AI Agent projects covering code debugging, financial analysis, customer service, and multi-agent collaboration—deployable even for beginners.
Read more →
·6 min
Vibe Coding in Practice at Big Tech: How Frontend Engineers Can Avoid Being Replaced in the AI Era
A big-tech interviewer reveals: junior/mid frontend dev is being replaced by AI. This article breaks down 3 core Vibe Coding interview questions to help you master key skills for the AI-assisted coding era.
Read more →
·7 min
ManagedAgents.sh: A Deep Dive into the Model-Agnostic Open-Source Managed Agent Platform
ManagedAgents.sh is a model-agnostic managed agent platform from OpenComputer, supporting Claude, Pi, and Codex runtimes with Slack and GitHub integration.
Read more →
·6 min
GPT-5.6 Three-Model Launch: Soul/Terra/Luna Tiered Strategy and the AI National Security Game
OpenAI previews the GPT-5.6 series — Soul, Terra, and Luna — with a massive 1.5M-token context. In-depth analysis of coding leaps, the Fable 5 national security game, the heating U.S.-China AI race, and workflow economics.
Read more →
·7 min
Getting Started with LangChain: The Core Framework Connecting LLMs and AI Applications
A deep dive into LangChain's positioning and value—why do LLMs need a middle layer? How does LangChain serve as the 'glue' unifying multi-model interfaces and supporting Agent development? Learn its core modules and learning path.
Read more →