翻译记录

• Compare Tavily, Perplexity API, Google Search Grounding, Exa with LLM-as-Judge in LangSmith
  https://websearchapi.ai/blog/compare-tavily-google-search-exa-perplexity
• How I Cut an AI Agent's Token Use by 94%
  https://vivekhaldar.com/articles/compiling-an-ai-agent-skill/
• This Week in AI: A First for Agentic Ransomware – O’Reilly
  https://www.oreilly.com/radar/this-week-in-ai-a-first-for-agentic-ransomware/
• On swimming, learning and my journey to being the last one - Event-Driven.io
  https://event-driven.io/en/on-swimming-learning-and-my-journey/
• NVIDIA Nemotron 3 Embed Ranks #1 Overall on RTEB, Advancing Agentic Retrieval
  https://huggingface.co/blog/nvidia/nemotron-3-embed-wins-rteb
• LiteLLM: AI Gateway for LLMs — Features Overview | by Arseny Zinchenko (setevoy) | Jul, 2026 | ITNEXT
  https://itnext.io/litellm-ai-gateway-for-llms-features-overview-7a6de35575a0
• 5 Trends That Defined AI Engineering at World’s Fair 2026
  https://www.latent.space/p/aiewf26trends
• Learning Software Architecture
  https://matklad.github.io/2026/05/12/software-architecture.html
• X 上的 Peter Wang：“Building against the big labs that are trying to eat you” / X
  https://x.com/BrainsAndTennis/status/2076767931053294017?s=20
• Kimi K3, and what we can still learn from the pelican benchmark
  https://simonwillison.net/2026/Jul/16/kimi-k3/
• X
  https://x.com/jerryjliu0/article/2077537847951945742
• Kimi K3 Tech Blog: Open Frontier Intelligence
  https://www.kimi.com/blog/kimi-k3
• Integrating LLMs in Software Engineering Education: Motivators, Demotivators, and a Roadmap Towards a Framework for Finnish Higher Education Institutes
  https://arxiv.org/html/2503.22238v1
• Stripe Benchmark Shows AI Agents Build Integrations but Struggle with Validation - InfoQ
  https://www.infoq.com/news/2026/07/stripe-ai-agents-benchmark/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=global
• X 上的 Jerry Liu：“The Best Model Routing is Task Specific” / X
  https://x.com/jerryjliu0/status/2077537847951945742
• X 上的 Hanako：“there are four types of agent loops. most people only know one. loop engineering is a choice between four structures, each handing off one more job than the last. every one answers two
  https://x.com/hanakoxbt/status/2077518405624644023
• X 上的 Deedy：“Every single AI startup with $500M+ revenue run rate (excluding the big 3 labs): Lovable - $500M ElevenLabs - $500M Perplexity - $500M Manus - $500M* Cognition - $500M* Kling AI - $500M C
  https://x.com/deedydas/status/2076894544596177204
• Agentic orchestration: Enterprise AI organizations have a deployment problem, not a platform problem — and most are calling chatbots agents | VentureBeat
  https://venturebeat.com/ai/agentic-orchestration-enterprise-ai-organizations-have-a-deployment-problem-not-a-platform-problem-and-most-are-calling-chatbots-agents
• “We Are 90% Done” Is the Most Expensive Sentence in Software Delivery | by Sonal Jain | Jul, 2026 | Medium
  https://medium.com/@sonaljain.iet/we-are-90-done-is-the-most-expensive-sentence-in-software-delivery-6f96564ccfa4
• Engineering teams will shrink as AI shifts responsibilities | CIO Dive
  https://www.ciodive.com/news/engineering-teams-shrink-from-ai-responsibilities/824995/
• Enterprise AI is entering an evaluation gap: Agents are gaining autonomy faster than companies can verify them | VentureBeat
  https://venturebeat.com/orchestration/enterprise-ai-is-entering-an-evaluation-gap-agents-are-gaining-autonomy-faster-than-companies-can-verify-them
• Five studies that are changing how I think about AI in software engineering
  https://newsletter.getdx.com/p/five-studies-that-are-changing-how
• X 上的 Nous Research：“For our Accelerated Business Hackathon with @NVIDIAAI and @stripe, we asked builders to make agents that can earn, spend, and run real operations at any scale. We judged 292 excel
  https://x.com/NousResearch/status/2077517414464410091
• The New Software Lifecycle – O’Reilly
  https://www.oreilly.com/radar/the-new-software-lifecycle/
• Transforming LLM Workflows: Ditching the Loop for Efficiency
  https://compositecode.blog/2026/07/15/loop-engineering-is-mostly-just-broken-sdlc-wearing-a-costume/
• Telegram Serverless
  https://core.telegram.org/bots/serverless
• The Architecture Behind Trionn: Coordinating GSAP, Three.js, Lenis, and Web Audio | Codrops
  https://tympanus.net/codrops/2026/07/15/the-architecture-behind-trionn-coordinating-gsap-three-js-lenis-and-web-audio/
• What building Shippy taught us about building agents
  https://huggingface.co/blog/allenai/shippy-tech-blog
• Lessons Learned in Migrating to Micro-Frontends - InfoQ
  https://www.infoq.com/presentations/migration-micro-frontend/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=global
• x
  https://aws.amazon.com/blogs/machine-learning/multi-agent-social-intelligence-with-strands-agents-and-amazon-bedrock/