Manus Acquired by Meta for $300M Reveals Core Agent Development Principles with LangChain
Manus shared the hard-won lessons behind building production AI agents - from context rot to evaluation rethinking - in a joint presentation with LangChain.
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Inside the $3.6B Secret Behind Manus: Why AI Agents Actually Fail
Meta acquired Manus for $3.6 billion. The secret wasn't a bigger model - it was context engineering. Here's what most AI agents get wrong.
What Meta's Manus Acquisition Tells Us - Why Startups Can No Longer Afford to Stay Local
Meta acquired Chinese AI startup Manus for billions. This deal reveals a new reality: going global isn't a growth option - it's a survival strategy for every startup in the AI era.
Multi-Agent Architecture: Splitting Blindly Will Backfire
Not all multi-agent patterns are equal. Learn when subagents, skills, handoffs, and routers actually outperform a single agent - with real scenarios and numbers.
The One Article That Unblocked My Multi-Agent Architecture
Orchestration patterns, communication methods, memory management, and production pitfalls - a practical breakdown of everything I struggled with when designing multi-agent systems.
Dissecting Oh-My-OpenCode and the Future of Context Engineering
A deep dive into Oh-My-OpenCode's multi-agent orchestration architecture - how programmatic context isolation, parallel execution, and evidence-based research are redefining what AI coding agents can do.
7 Building Blocks of AI Agent Design, Learned from Opencode Docs
Opencode's open-source documentation doubles as an introductory guide to agent architecture. Here are the seven core concepts every developer should understand.
AI Approaches Human Reasoning for the First Time - Poetiq Breaks 50% on ARC-AGI-2
Poetiq's recursive meta-system became the first to surpass 50% on ARC-AGI-2, the benchmark designed to test true general intelligence. Here's how a 6-person team outperformed Google at half the cost.
The Era of AI Deploying Production Code Overnight
How a Claude Code plugin named after Ralph Wiggum is redefining autonomous coding through iterative loops, memory architecture, and stop hooks.
Making LLMs Write Code to Read 10M Tokens - How RLM Works
Bigger context windows don't make AI smarter. RLM flips the script by letting LLMs write code to selectively read massive documents instead of ingesting them whole.
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