Deep Dive into Building Anthropic Agents
HeyAmit_ · x · 2026-07-20
This is a 45-minute deep dive into how Anthropic builds AI agents, focusing on how these agents:
- Remember previous information
- Learn from mistakes made during each run
- Gradually improve over multi-turn executions
The post itself is a reshare, recommending bookmarking it to watch the full analysis later.
Related event: Anthropic Shares Methodology on Building AI Agents(4 posts)→
More from coding & agent
- BELL: Open-Source Stack Combines Browserbase, Eve, iMessage and Stripe Link for Personal Agents — jeff_weinstein · 2026-10-27
- Two engineers rebuilt a FedEx supplier's billing core in 3.5 months vs an estimated 7-8 — alex_verem · 2026-10-27
- GPT-6.1 Terra gains ~20 points on Terminal-Bench 4.0, rivalling GPT-6.1 Sol — ArtificialAnlys · 2026-10-27
- GPT-6.1 Terra scores 48 on AA Coding Agent Index at one-third the cost of GPT-5.6 Terra — ArtificialAnlys · 2026-10-27
- Shift-1 router cuts coding agent spend up to 55% while keeping SWE-bench accuracy — ypatil125 · 2026-10-27
- Non-coder vibe-codes a Godot JRPG with Claude Code in two weeks, music and art synced — ADHDavid · 2026-10-27