翻译记录
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Learning to Replicate Expert Judgment in Financial Tasks - Thinking Machines Lab
https://thinkingmachines.ai/news/learning-to-replicate-expert-judgment-in-financial-tasks/
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Maybe you should learn something |
marginalia.nu
https://www.marginalia.nu/log/a_135_learn/
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Back Button
https://www.technologyreview.com/2026/07/02/1140045/achieving-operational-excellence-with-ai/
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Untitled
https://www.sitepoint.com/claude-sonnet-5-the-developers-guide-to-anthropics-new-default-model/
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Beyond Code Generation: How AI Is Reshaping Modern Software Delivery
https://www.sitepoint.com/beyond-code-generation-how-ai-is-reshaping-modern-software-delivery/
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The Untaught Lessons of RAG Retrieval: Cosine Is Not the Foundation | Towards Data Science
https://towardsdatascience.com/the-untaught-lessons-of-rag-retrieval-cosine-is-not-the-foundation/
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Group
https://thenewstack.io/enterprise-ai-model-routing/
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Software, from First Principles · Faza
https://fazamhd.com/mental-models/software/
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The 2026 Agent Confidence Index: Where 300 builders see real momentum | The Microsoft Cloud Blog
https://www.microsoft.com/en-us/microsoft-cloud/blog/2026/06/29/the-2026-agent-confidence-index-where-300-builders-see-real-momentum/
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What is the future of software engineering with Adam Bender, Principal Software Engineer at Google
https://newsletter.techworld-with-milan.com/p/what-is-the-future-of-software-engineering
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x
https://aws.amazon.com/blogs/machine-learning/how-amazon-bedrock-catches-ai-generated-phishing/
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How to Use RLMs in Deep Agents
https://www.langchain.com/blog/how-to-use-rlms-in-deep-agents
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How to evaluate AI agents, avoid reward hacking, and build better specs - Arize AI
https://arize.com/blog/how-to-evaluate-ai-agents-and-build-better-specs
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Benchmarking Agent Tool Use
https://www.langchain.com/blog/benchmarking-agent-tool-use
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Your coding agent bill doubled. Here’s how to fix it.
https://www.langchain.com/blog/fix-your-coding-agent-bill
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pradyuprasad.com
https://pradyuprasad.com/writings/how-to-ask-for-help/
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AI Tools Accelerates Coding, But Not Overall Software Delivery, GitLab Research Finds - InfoQ
https://www.infoq.com/news/2026/06/ai-coding-outpaces-governance/
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itsthelore/wayfinder-router: Simple CLI tool for deterministic routing of queries between local and hosted LLM models
https://github.com/itsthelore/wayfinder-router
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OpenWiki: Open Source Repo Documentation for Coding Agents
https://www.langchain.com/blog/introducing-openwiki-an-open-source-agent-for-repo-documentation
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Same prompt, different models: Cowork model outcome and cost comparison – Vesa Nopanen – Future Work today
https://futurework.blog/2026/07/01/same-prompt-different-models-cowork-model-outcome-and-cost-comparison/
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We put a Redis server inside our runtime – Encore Blog
https://encore.dev/blog/redis-runtime
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Extraction Benchmarking
https://www.langchain.com/blog/extraction-benchmarking
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Loop Engineering in Snowflake CoCo | by Tianxia Jia | Snowflake Builders Blog: Data Engineers, App Developers, AI, & Data Science | Jul, 2026 | Medium
https://medium.com/snowflake/loop-engineering-in-snowflake-coco-b450648431c9
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Measuring developer productivity? A response to McKinsey
https://newsletter.pragmaticengineer.com/p/measuring-developer-productivity
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Five tools to bolster your AI coding stack | InfoWorld
https://www.infoworld.com/article/4190721/five-tools-to-bolster-your-ai-coding-stack.html
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Five tools to bolster your AI coding stack | InfoWorld
https://www.infoworld.com/article/4190721/five-tools-to-bolster-your-ai-coding-stack.html
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Japan Has 41% of the World's 100-Year Companies — Secrets of Eternal Business from 1400-Year-Old Kongo Gumi | JTimes
https://www.j-times.org/en/media/articles/japan-shinise-1400-years-2026/
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Model subsidies are ending. What do you do now? - Arize AI
https://arize.com/blog/ai-model-subsidies-ending-llm-inference-costs/
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Build a Reasoning Model (From Scratch) - Sebastian Raschka
https://www.manning.com/books/build-a-reasoning-model-from-scratch
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A Practical GraphRAG Architecture Using LangExtract, Neo4j, Qdrant, and Ollama | by M K Pavan Kumar | Jun, 2026 | Stackademic
https://blog.stackademic.com/a-practical-graphrag-architecture-using-langextract-neo4j-qdrant-and-ollama-0e4c86908c41