Artificial Intelligence

DSPy

712 members Est. Jun 18, 2025 Updated Feb 10, 2026
Picassio
Picassio @ocbieuvang · Feb 4
Checkout my rlm-dspy cli project. It is using dspy-rlm for explore and working on local codebase. Included GEPA/SIMBA for RLM instruction optimizing. It also has buildin sementic search with embedding and tree-sitter.

https://t.co/vUNFQWjWM7
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Tom Dörr
Tom Dörr @tom_doerr · Jan 22
Had to reread the post and documentation multiple times to figure out that they aren't doing DSPy-style agent optimization, they are just chatting with Claude and Codex https://t.co/n8gKVCbn0N
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Tom Dörr
Tom Dörr @tom_doerr · Jan 21
Recursive Language Model implementation in DSPy

https://t.co/WoeyaEcWqh https://t.co/7hm8BUmnol
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luis.poe
luis.poe @_luispoe · Jan 14
I’ve been living under a rock since Nov '25.
Given how fast things move, I assume everything has changed. What are the must-know dspy updates? Hit me! 🥊
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Tom Dörr
Tom Dörr @tom_doerr · Jan 13
https://t.co/Jkd0Ll2SUt
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Tom Dörr
Tom Dörr @tom_doerr · Jan 13
Brutal to call DSPy a “prompt-optimizer research artifact” https://t.co/eir0OkmtvJ
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Tom Dörr

Tom Dörr

@tom_doerr

Follow for posts about GitHub repos, DSPy, and agents Subscribe for top posts DM to share your AI project (Due to volume of DMs I'll prioritize subscribers)

161.0K Followers
4 Contributions
Picassio

Picassio

@ocbieuvang
13 Followers
1 Contributions
luis.poe

luis.poe

@_luispoe
0 Followers
1 Contributions
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Programming—not prompting—LMs

Community Rules

Information flow drives great AI

Information Flow is the single most key aspect of good AI software

Make LLM calls functional & structured

Interactions with LLMs should be Functional and Structured

Make inference strategies polymorphic modules

Inference Strategies should be Polymorphic Modules

Decouple behavior spec from learning paradigms

Specification of your AI software behavior should be decoupled from learning paradigms

Steer learning via natural‑language optimization

Natural Language Optimization is a powerful paradigm of learning