📚 Articles

67

Context Engineering: Improving AI Coding agents using DSPy GEPA

This blog post is a technical walkthrough of how we improved the coding agents used in the AI data scientist. With the actual data, and evaluation...

user_submitted GEPA

Read Article Oct 3, 2025

🎥 Video

67

Prompt Engineering 的終結？DSPy 框架概念 + n8n 模擬測試，讓 AI 自動寫出最佳提示詞！ - YouTube

DSPy quick review in Chinese. 隨著模型性能提升， Prompt Engineering 的重要性不如數年前那麼顯著。 今年一個非常受歡迎的項目 DSPy 提出了一個革新性的概念：「Programming—not prompting」，主張讓程式自動生成...

user_submitted chinese

Watch Now Oct 3, 2025

📚 Articles

66

Cache Image.format for better throughput (#8842) - DSPy code commits

lru_cache cache decorator applied to ensure faster throughput and stopping needless regeneration.

user_submitted code commits

Read Article Oct 3, 2025

📚 Articles

66

Minor SIMBA Improvements - From DSPy codebase

Added ability to use a seperate prompt_model to use to evolve the program.

user_submitted code commits

Read Article Oct 3, 2025

🚀 Projects

66 2.2K

ax-llm/ax

The pretty much "official" DSPy framework for Typescript | Language: TypeScript | License: Apache License 2.0

claude cohere ai dspy anthropic typescript

Visit Project Page Sep 7, 2025

Company

65

Modaic - Placing DSPy within the Software 3.0 ecosystem

Modaic is the platform for DSOps: DevOps for DSPy programs. We’re building the infrastructure for software 3.0, where agents autonomously improve...

companies using dspy

Read Article Oct 3, 2025

📚 Articles

62

Tracking DSPy Optimizers

This tutorial demonstrates how to use MLflow to track and analyze your DSPy optimization process. MLflow's built-in integration for DSPy provides...

user_submitted Mlfow optimizers

Read Article Oct 3, 2025

🎥 Video

61

Meaning-Typed Programming: Types as Prompts for LLMs - YouTube

In this walkthrough I break down the SPLASH 2024 paper on meaning-typed programming and show how its type-driven approach can remove a ton of brittle...

user_submitted

Watch Now Oct 24, 2025

🎥 Video

61

Using Tools (ReAct Pattern) with ax-llm & DSPy

Let your AI use tools to answer questions - the ReAct (Reasoning + Acting) pattern in ax-llm, DSPy

user_submitted ax-llm

Watch Now Oct 24, 2025

📚 Articles

60

Paper - SAVANT: Semantic Analysis with Vision-Augmented Anomaly deTection

Researchers introduce SAVANT, a structured reasoning framework that enhances anomaly detection in driving scenes using vision-language models (VLMs)....

user_submitted paper

Read Article Oct 24, 2025

🚀 Projects

60 746

curiousily/AI-Bootcamp

Self-paced bootcamp on Generative AI. Tutorials on ML fundamentals, Ollama, LLMs, RAGs, LangChain, LangGraph, Fine-tuning, DSPy & AI Agents (CrewAI),...

crewai langgraph chatgpt artificial-intelligence jupyter-notebook langchain

Visit Project Page Sep 11, 2025

📚 Articles

59

Using DSPy in Production

The following content is not an introduction to DSPy, nor is it a tutorial to learn how to use DSPy. I believe this topic has already been well...

production

Read Article Oct 2, 2025

🚀 Projects

58 584

teilomillet/gollm

Unified Go interface for Language Model (LLM) providers. Simplifies LLM integration with flexible prompt management and common task functions. |...

anthropic genai generative-ai dspy ai go

Visit Project Page Sep 11, 2025

🚀 Projects

57 56

avbiswas/mem0-dspy

Language: Python | License: MIT License

python

Visit Project Page Oct 28, 2025

📚 Articles

57

DSPyWeekly Updates

A lot of DSPy content is crawled compared to what is curated, now you can search it at https://dspyweekly.com/search/ . A new section for Companies...

dspyweekly update

Read Article Oct 3, 2025

📚 Articles

56

REFRAG implementation in DSPy - By Marcus Johansson

A comprehensive, production-ready framework for Retrieval-Enhanced Fragmented Reasoning and Generation (REFRAG) that revolutionizes how large...

user_submitted refrag

Read Article Oct 31, 2025

🎥 Video

56

DSPy Boston Video Playlist

Big shoutout to Team Weaviate for organising and recording these.

user_submitted dspy boston conference

Watch Now Oct 31, 2025

📚 Articles

56

Interactive UI for DSPy prompt optimization

Build and test signatures interactively. Create multiple cells to experiment with different prompts and see results side by side.

user_submitted UI

Read Article Oct 31, 2025

🎥 Video

56

Build Production-Ready LLM Apps with Prompt Optimization | DSPy + Dagster

In this Dagster Deep Dive, Alex Noonan and Colton Padden demonstrate how to escape the "prompt spaghetti" trap that plagues most LLM applications....

user_submitted dagster

Watch Now Oct 31, 2025

📚 Articles

56

A practical comparison of DSPy and LlamaBot for structured LLM applications

In this blog post, I share my hands-on comparison of DSPy and LlamaBot for building structured LLM applications, using a real-world expense...

user_submitted llamabot

Read Article Oct 31, 2025