🚀 Projects

61 232

originalankur/GenerateAgents.md

Automated generation of comprehensive Agents.md for LLMs, driven by the DSPy Recursive language model implementation. | Language: Python | License:...

dspy agentskills agentsmd dspy-rlm agents python

Visit Project Page Mar 7, 2026

🎥 Video

61

Building AI agents for 127 million customers: Practical lessons from Nubank

Aman Gupta, Principal Machine Learning Engineer at Nubank, discussing how the company designs, evaluates, and scales production-grade AI agents for a...

user_submitted ai agent

Watch Now Feb 20, 2026

📚 Articles

61

ACM launches CAIS 2026, a new conference on AI and agentic systems | EurekAlert!

“The field at large is still guessing how we can engineer AI software systems that are reliable,” said Omar Khattab, Steering Committee member,...

user_submitted event

Read Article Feb 14, 2026

🎥 Video

61

Breno Brito - Future proof your AI product - YouTube

In this talk I will cover frequent AI system problems caused by using prompts and opaque frameworks instead of a descriptive programmatic approach,...

user_submitted talk

Watch Now Jan 16, 2026

📚 Articles

61

Event: Beograd - Structured Context Engineering: Optimizing AI Agents with DSPy

​Data Sanity Workshop: Optimizing AI Agent Prompts with DSPy ​In this hands-on workshop, you’ll be introduced to DSPy, a practical framework for...

user_submitted event

Read Article Dec 19, 2025

📚 Articles

61

Promptomatix: Automate LLM Prompt Optimization to Boost AI Output Quality | Salesforce AI Research

Promptomatix is an AI-driven LLM prompt optimization framework powered by DSPy and advanced optimization techniques. It automatically analyzes tasks,...

user_submitted built on dspy

Read Article Dec 19, 2025

📚 Articles

61

Stop Writing Prompts Like a Medieval Alchemist | by DrSwarnenduAI | Dec, 2025 | Stackademic

The article critiques the inefficient "alchemy" of manual prompt engineering, advocating instead for the DSPy framework to transform LLM interactions...

user_submitted manual prompting

Read Article Dec 19, 2025

📚 Articles

61

Building Better AI Tools with MCP | Darin Kishore

Darin Kishore explores how combining Anthropic’s Model Context Protocol (MCP) with the DSPy framework can make for better AI workflow development....

user_submitted MCP

Read Article Dec 12, 2025

🎥 Video

61

Build Production AI with DSPy + Azure OpenAI + MLflow: GEPA Optimization Tutorial - YouTube

A walkthrough of building a product description generator using DSPy, Azure OpenAI, and MLflow. We'll explore how GEPA optimization works with a...

user_submitted

Watch Now Dec 5, 2025

📚 Articles

61

Case Study: How We Debug 1000s of Databases with AI at Databricks | Databricks Blog

Lessons from building an AI-assisted database debugging platform. Mentions using DSPy.

user_submitted databricks casestudy

Read Article Dec 5, 2025

📚 Articles

61

Building Chat Agents with Ephemeral Memory: A Step-by-Step Guide

Learn lightweight context engineering in Ruby. We'll incrementally build a chat agent with ephemeral memory and cost-based routing—starting from the...

user_submitted ruby port

Read Article Nov 28, 2025

📚 Articles

61

Paper: A Multicancer AI Framework for Comprehensive Cancer Surveillance from Pathology Reports

This paper introduces an autonomous AI system that automates data abstraction from pathology reports for cancer registries. Key Highlights: - High...

user_submitted paper

Read Article Nov 28, 2025

📚 Articles

61

Announcing DSPy Code: The CLI to Build and Optimize Your DSPy Code – Superagentic AI Blog

Superagentic AI is proud to announce the DSPy Code, the comprehensive CLI to build and optimize your DSPy and GEPA code. DSPy Code is now live: an...

user_submitted cli

Read Article Nov 28, 2025

🎥 Video

61

AIdotEngineer Impromptu conversation around DSPy

Found the DSPy / GEPA corner at the Anthropic booth with @tarunsachdeva and @thomastjoshi

user_submitted conference

Watch Now Nov 21, 2025

📚 Articles

61

PAPER: Feedback Descent: Open-Ended Text Optimization via Pairwise Comparison

The text introduces Feedback Descent, a framework for optimizing text-based items (like prompts, code, or molecules) using detailed, structured...

user_submitted paper

Read Article Nov 14, 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

Discussion

60

RLM discussion - Raymond

The punchline: plain dspy.RLM with zero customization gets 87.2% on a benchmark where SOTA is 94.9%. That's 92% of SOTA performance out of the box....

user_submitted

Read Article Feb 14, 2026

Discussion

60

Reddit Discussion on RLMs

Reddit users discussing RLMs

user_submitted reddit

Read Article Jan 23, 2026

📚 Articles

60

Moderating Discord with DSPy | Isaac Miller's Blog

"Discord Mod," Isaac B. Miller details his technical experiment to create a custom AI chatbot tailored specifically for his private Discord server....

user_submitted discord bot

Read Article Jan 9, 2026