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我的 AI 原生开发流程：一个真实案例的完整复盘
人负责关键判断，Agent 做分析、设计、编码和验证。用 BaoCut 远程转录把这套流程完整走一遍。
推荐理由人负责关键判断，Agent 做分析、设计、编码和验证。
Pai 的 AI 雷达
2026-08-24：我的 AI 原生开发流程：一个真实案例的完整复盘；Advancing price-performance ；NVIDIA Vera Rubin and Blackw
人负责关键判断，Agent 做分析、设计、编码和验证。用 BaoCut 远程转录把这套流程完整走一遍。
GPT‑5.6 is now available in Kiro, helping developers plan, build, review, and test software with better price-performance.
AI agents have expanded inference from single-turn interactions into multi-step workflows that reason, invoke tools, coordinate subagents, and carry growing...
AI factories are interconnected systems where fleet economics depend on how efficiently the entire stack converts power and capital into completed agent tasks....
NVIDIA Groq 3 LPX is the interactive AI inference accelerator for the NVIDIA Vera Rubin platform. At the core of the platform is NVIDIA Vera Rubin NVL72, the...
Multimodal large language models increasingly use visual chain-of-thought (Visual CoT) to reason about spatial, temporal, and embodied environments. By generating intermediate reasoning images, Visual CoT provides an int
Your executable is a SQLite database Farid Zakaria describes a neat Linux pattern for creating a SQLite database file that can be directly used as an executable binary. The trick sets the SQLite file format's 4-byte appl
Anthropic’s best AI model struggles to attract users as cheaper tools thrive A few interesting numbers in this FT story gathered from "people with knowledge of the matter": Anthropic's "annualized revenue" for July is up
Prior to Fable, it felt silly to waste too much time improving your coding harness or context strategies. A new model would arrive at the same price (or cheaper!) and paper over most of your problems. But then Fable land
Differential acceleration of cyber, math, and AI
**Agent harnesses** are becoming a key optimization focus, with NVIDIA research showing traditional skill checks poorly predict agent usefulness and proposing a new metric called **"Skill Lift"**. Open-source implementat
**OpenAI** announced benchmark results for its custom inference chip **Jalapeño**, showing **1.5–1.9×** better efficiency and **1.7–3.6×** lower latency compared to NVIDIA **GB200/GB300**. Deployment starts by year-end w