🌕 如果 DSPy 如此出色,為什麼沒人在用?
➤ 為什麼你最終會手寫出一個充滿 Bug 的「山寨版」DSPy?
https://skylarbpayne.com/posts/dspy-engineering-patterns/
作者探討了 AI 工程領域的一個弔詭現象:儘管 DSPy 被公認為解決複雜 AI 系統難題的利器,但其採用率遠不及 LangChain 等框架。文章指出,開發者通常會經歷一套由簡入繁的「進化過程」——從單純呼叫 API 到處理提示詞管理、結構化輸出、錯誤處理、RAG 以及評估系統。在這個過程中,工程師往往在不知不覺中手寫出一套極其複雜、充滿 Bug 且難以維護的「山寨版 DSPy」。作者提出「Khattab 定律」,強調若不使用專業框架,工程師終將在痛苦與高維護成本中重蹈覆轍,並建議擁抱 DSPy 的抽象思維以優化開發效能。
+ 說得太準了,我們公司目前的架構演進史完全就是這七個階段的翻版,甚至連遇到的坑都一模一樣。
+ DSPy 的學習曲線確實是個門檻,但比起維護自己寫的那堆爛攤子,學
#AI 工程 #DSPy #大型語言模型 (LLM) #軟體架構
If DSPy is So Great, Why Isn't Anyone Using It?

Any sufficiently complicated AI system contains an ad hoc, informally-specified, bug-ridden implementation of half of DSPy.

Skylar Payne
🤔 Oh wow, another 11-minute existential crisis about a tool nobody uses! 🚀 DSPy: the "revolutionary" AI that somehow skipped the 'useful' stage and landed straight in the 'why bother' bin. 🤷‍♂️
https://skylarbpayne.com/posts/dspy-engineering-patterns/ #existentialcrisis #AItools #DSPy #innovation #techhumor #whybother #HackerNews #ngated
If DSPy is So Great, Why Isn't Anyone Using It?

Any sufficiently complicated AI system contains an ad hoc, informally-specified, bug-ridden implementation of half of DSPy.

Skylar Payne
If DSPy is So Great, Why Isn't Anyone Using It?

Any sufficiently complicated AI system contains an ad hoc, informally-specified, bug-ridden implementation of half of DSPy.

Skylar Payne

Curious how DSPy routes every pipeline step before it touches an LLM? This piece breaks down the gateway class behind DSPy modules and why it matters.

Read More: https://zalt.me/blog/2026/01/dspy-module-gateway

#DSPy #LLM #Python #softwaredesign

Bedrock AgentCore Runtimeを使ってお知らせ文を解析して要約・イベントリマインドするアプリを作った
https://qiita.com/retore/items/2d6f903483e7f43bef87?utm_campaign=popular_items&utm_medium=feed&utm_source=popular_items

#qiita #AWS #bedrock #DSPy #BedrockAgentCore

Bedrock AgentCore Runtimeを使ってお知らせ文を解析して要約・イベントリマインドするアプリを作った - Qiita

課題意識 "AIを活用した開発"に関する知見はだいぶ溜まってきた と言いつつここ数ヶ月ClaudeCodeを使っていなかったので最新潮流に追いつけていないが…… 一方で,"AIを組み込んだアプリの開発"に関する知見はまだまだ足りない もちろん,SDKやFW(La...

Qiita

DSPydantic: Tối ưu hóa tự động Mô hình Pydantic bằng DSPy 🛠️ Công cụ giúp tối ưu hóa các mô hình Pydantic hiệu quả, kết hợp công nghệ DSPy. Thảo luận Reddit và nguồn code GitHub đã được chia sẻ. #Python #Pydantic #DSPy #AI #MachineLearning #CôngNghệSố

https://www.reddit.com/r/LocalLLaMA/comments/1po1lw1/dspydantic_autooptimize_your_pydantic_models_with/

🚀 Modaic: RL-native agente kit xuất sắc cùng DSPy! Tối ưu prompt thông qua RL, công cụ context (Context, GraphDB, v.v.) và kho\%C4%9F tái_agent. Mở nguồn, đếnhim từ phi\u1ec7mUIImage@ Sophie. Ơn đónότητα! #Modaic #RL #DSPy #AIdev #OpenSource #VietnameseAI

https://www.reddit.com/r/LocalLLaMA/comments/1oarzhf/modaic_a_new_rl_native_agent_development_kit/

If, like me, you weren’t familiar with #DSPy, this was a great talk given at the Databricks Data & AI summit to walk you through why you should care.

If you’re writing prompts by hand in your apps, stop now and read this article by @dbreunig

https://www.dbreunig.com/2025/06/10/let-the-model-write-the-prompt.html

Let the Model Write the Prompt

Notes from a talk I delivered at the 2025 Data + AI Summit, detailing the problem with prompts in your code and how DSPy can make everything better.

Drew Breunig
Let the LLM Write the Prompts: An Intro to DSPy in Compound Al Pipelines - Let the LLM Write the Prompts: An Intro to DSPy in Compound Al Pipelines
I'v... - https://simonwillison.net/2025/Oct/4/drew-on-dspy/#atom-everything #prompt-engineering #generative-ai #drew-breunig #geospatial #overture #llms #dspy #gis #ai
Let the LLM Write the Prompts: An Intro to DSPy in Compound Al Pipelines

I've had trouble getting my head around DSPy in the past. This half hour talk by Drew Breunig at the recent Databricks Data + AI Summit is the clearest explanation …

Simon Willison’s Weblog

# Context Engineering: Nâng Cấp AI Coding Agents Với DSPy GEPA

Bài viết mới về kỹ thuật Context Engineering giúp cải thiện hiệu suất AI Coding Agents bằng phương pháp DSPy GEPA. Một hướng tiếp cận thú vị để tối ưu hóa chất lượng code AI.

#AI #MachineLearning #AIcoding #DSPy #GEPA #KỹthuậtAI #PháttriệnAI

https://www.reddit.com/r/SideProject/comments/1nwaxxq/context_engineering_improving_ai_coding_agents/