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Public story · 2026-02-24 · source-backed
Domain: agent-patterns | Difficulty: intermediate | Source
Three questions before choosing: (1) Can a single LLM solve this? (2) Can prompt chaining work? (3) Do multiple agents help? OpenAI Swarm for routing, Anthropic patterns for flexibility, LangGraph for production control, Kimi Swarm for max parallelism, Claude Code Teams for coding. Budget for coordination overhead — multi-agent burns tokens fast.
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1. Flip your multi-model pipeline to review-then-generate. Instead of using a reasoning model to plan before code generation, let the specialist generate freely and use reasoning tokens for review. Paper shows 90.2% pass@1 vs 87.2% for the planning pattern. Source 2. Audit you...
1. Deploy Nemotron 3 Super for Agentic Reasoning (ml-ops, advanced) — 120B MoE activating only 12B params. vLLM with --reasoning-parser nemotron_v3. NVIDIA Blog 2. Build Multimodal RAG with Gemini Embedding 2 (ml-ops, intermediate) — Text, images, video, audio in one 3072-dim...
On April 10, Anthropic accidentally shipped 510,000 lines of TypeScript source maps with Claude Code v2.1.88 on npm. A missing .npmignore file. The community response was immediate and massive: someone created Claw Code, a Rust rewrite, which hit 50K GitHub stars in 2 hours an...
Anthropic, Vercel, Mastra, LangGraph, and OpenAI all shipped harness primitives simultaneously — external scaffolding managing persistent state, retry logic, and HITL checkpoints around stateless LLM inference. This isn't framework preference; it's architectural necessity. The...
Anthropic's own docs confirm prompts, model responses, tool results (which include code Claude reads) and session transcripts still travel to and are retained by Anthropic. Inference can't be routed through Amazon Bedrock, Google Cloud's Agent Platform, Microsoft Foundry, or a...
This is the most useful piece of research I've read all month, and it quietly demolishes a belief a lot of people hold. Anthropic analyzed roughly 400,000 Claude Code sessions across 235,000 people from October 2025 to April 2026, and the headline is that expert users hit 33%...
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