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BirdNest Tech Talk

Author of the rpcx microservice framework, original book author, and chair of Baidu's Go CMC committee.

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Latest from BirdNest Tech Talk

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BirdNest Tech Talk

Jan 25, 2026 · Frontend Development

Create Professional Videos with Just a Chat: Remotion AI Skills + Claude Code

This article shows how developers can generate full‑featured tutorial or marketing videos in minutes by combining Remotion’s AI Skills with Claude Code, covering installation, project setup, natural‑language prompts, code generation, customization options, real‑world use cases, and the broader impact on development workflows.

AI video generationClaude Codeautomation

0 likes · 10 min read

Create Professional Videos with Just a Chat: Remotion AI Skills + Claude Code

BirdNest Tech Talk

Jan 24, 2026 · Artificial Intelligence

How to Build an AI Comic‑Generating Agent with LangGraphGo and Skills

This article walks through constructing a multi‑step AI comic‑generation agent using the LangGraphGo framework and the GoSkills plugin system, covering architecture design, declarative tool definitions, automatic configuration discovery, parameter conversion, code implementation, common pitfalls, best practices, and performance optimizations.

AI AgentsGoSkillsLLM tool integration

0 likes · 22 min read

How to Build an AI Comic‑Generating Agent with LangGraphGo and Skills

BirdNest Tech Talk

Jan 16, 2026 · Industry Insights

Why Manus Chooses E2B: Inside the Architecture of a General‑Purpose AI Agent

The article analyzes how Manus, a general‑purpose AI agent, leverages E2B's Firecracker micro‑VM sandbox and self‑hosting deployment to achieve fast startup, full OS capabilities, session persistence, multi‑tenant isolation, and future cross‑OS support, illustrated with real‑world use cases and trade‑off assessments.

AI AgentsCloud ComputingE2B

0 likes · 8 min read

Why Manus Chooses E2B: Inside the Architecture of a General‑Purpose AI Agent

BirdNest Tech Talk

Jan 11, 2026 · Artificial Intelligence

How AI Agents Overcome Context Window Limits: Gemini vs Manus Deep Research

The article analyzes the context‑window bottleneck of large language models, compares two architectural strategies—strengthening the model (Gemini Deep Research) and parallel agent decomposition (Manus Wide Research)—and details a wind‑power investment case study, technical implementation, and future directions.

AI researchAgent ArchitectureReAct

0 likes · 16 min read

How AI Agents Overcome Context Window Limits: Gemini vs Manus Deep Research

BirdNest Tech Talk

Jan 7, 2026 · Artificial Intelligence

How ManusAgent Uses Markdown Files to Overcome AI Context Limits

This article explains how the ManusAgent, built on LangGraphGo, combines a persistent three‑file Markdown workflow with a graph execution engine to solve AI context window constraints, detailing its design, implementation steps, core features, usage scenarios, and a side‑by‑side comparison with a simpler planning agent.

AI PlanningAgent ArchitectureGo

0 likes · 17 min read

How ManusAgent Uses Markdown Files to Overcome AI Context Limits

BirdNest Tech Talk

Dec 21, 2025 · Industry Insights

How Agent Skills and MCP Are Redefining Enterprise AI in 2025

The report analyzes the rapid emergence of Claude Skills and OpenAI's Agentic Commerce Protocol, detailing their technical architectures, benchmark performance, cross‑platform compatibility, enterprise adoption metrics, security challenges, and strategic implications for businesses entering the agentic AI era.

AI AgentsClaude SkillsMCP

0 likes · 20 min read

How Agent Skills and MCP Are Redefining Enterprise AI in 2025

BirdNest Tech Talk

Dec 9, 2025 · Artificial Intelligence

How BettaFish Uses Multi‑Agent AI to Break the Information Filter Bubble

BettaFish is a Go‑based, AI‑driven multi‑agent opinion analysis platform that tackles information silos, overload, and bias by aggregating data from diverse sources, iteratively refining results through reflection loops, and delivering visualized, actionable reports for scientific decision‑making.

AIData visualizationGo

0 likes · 24 min read

How BettaFish Uses Multi‑Agent AI to Break the Information Filter Bubble

BirdNest Tech Talk

Dec 8, 2025 · Artificial Intelligence

How the New PEV Agent Pattern Boosts Reliable LLM Automation in Go

The article introduces the Plan‑Execute‑Verify (PEV) agent pattern added to langgraphgo, explains its three‑stage workflow, core features, configuration, concrete Go examples, implementation details, comparisons with ReAct and Reflection, and discusses best practices, limitations, and trade‑offs for high‑risk automation.

GoLLM agentsLangGraphGo

0 likes · 9 min read

How the New PEV Agent Pattern Boosts Reliable LLM Automation in Go

BirdNest Tech Talk

Dec 7, 2025 · Artificial Intelligence

Recreating DeerFlow’s Multi‑Agent Research Pipeline with LangGraphGo in 30 Minutes

This article walks through the open‑source DeerFlow framework—its multi‑agent architecture, core features, and a step‑by‑step implementation using the Go‑based LangGraphGo library, covering planner, researcher, reporter and podcast nodes, state‑graph design, CLI/web modes, and deployment instructions.

AI researchLLMLangGraphGo

0 likes · 14 min read

Recreating DeerFlow’s Multi‑Agent Research Pipeline with LangGraphGo in 30 Minutes

BirdNest Tech Talk

Dec 7, 2025 · Artificial Intelligence

How LangGraphGo’s First Week Delivered 7 Showcases, a Revolutionary PTC Feature, and 20K+ Lines of Code

The first week of the LangGraphGo project saw five version releases culminating in v0.5.0, the completion of seven full‑scale showcase replications, the launch of a groundbreaking Programmatic Tool Calling (PTC) package with up to ten‑fold performance gains, over 21,000 new lines of code, extensive bilingual documentation, and a fully deployed website and knowledge base, all backed by detailed metrics and community contributions.

AI AgentsDocumentationGo

0 likes · 20 min read

How LangGraphGo’s First Week Delivered 7 Showcases, a Revolutionary PTC Feature, and 20K+ Lines of Code