AI工程师世界大会2026 Agentic Engineering专场：写代码已不是难点
编程智能体专场讲得挺全：DeepSWE数据集、Sonar评测、Codex幕后、GitHub多人协作，想了解agent写代码现状可以看看。
AI Engineer World's Fair 2026正在进行Agentic Engineering专题直播，核心论点是写代码已不再是工程难点。
专场涉及DeepSWE专家代码数据集、Anthropic的CCA Exam作为实战指南，以及Sonar对编程智能体在新旧代码库上的基准评测。OpenAI工程师讲解了Codex背后的harness设计，GitHub介绍了实时多人协作与自动化。
Cline以《开源已死，开源万岁》收束，讨论开源生态在编程智能体时代的变化。
Live now: our Agentic Engineering Track from AI Engineer World's Fair 2026. Thesis: writing the code stopped being the hard part. youtube.com/watch?v=Yk87oU… - DeepSWE, expert code datasets: @shiqyy , Datacurve - Anthropic's CCA Exam as a field guide: @coyle_frankp , UC Berkeley - Guide, Verify, Solve: Anirban Chatterjee, Sonar - Benchmarking coding agents on new vs legacy codebases: @denyslinkov , Wisedocs - Codex, behind the harness: @dkundel , OpenAI - Multiplayer agentic engineering: Arjun Singh, Superconductor - Always on agents without the on call tax: Justin Smith, Resolve AI - Realtime multiplayer, automation, and you: @idangazit , GitHub - Velocity Sickness: Matt Dailey, Ref. - Open Source Is Dead. Long Live Open Source: @sdrzn , Cline📊 4 ⚡
This report is categorized under AITOP's "Industry" desk. Within our cross-regional analytical framework, it directly maps to AI developer toolchains, coding agents, and engineering workflows. Key entities and technical topics under continuous tracking include AI Engineer World's Fair 2026, Anthropic, Codex, GitHub.
Source attribution: curated from AI Engineer (@aiDotEngineer). Cross-source corroboration: 11 independent sources have covered this development (including Simon Willison, shao__meng, IT之家), confirming industry-wide signal strength.
