How we optimized Dash's relevance judge with DSPy

Dropbox used DSPy to turn prompt engineering for our relevance judge into a measurable, automated optimization loop, improving task performance, cost, and how reliably it works in production.

https://dropbox.tech/machine-learning/optimizing-dropbox-dash-relevance-judge-with-dspy

Reinventing Python's AsyncIO

The post explores a redesign of Python’s async runtime, arguing that the current async/await and event-loop model adds unnecessary complexity, and proposing a simpler runtime where concurrency is handled automatically without explicit async syntax.The author experiments with a new runtime approach that can run async workloads 2–3.5× faster than traditional asyncio, suggesting Python’s co...

https://blog.baro.dev/p/reinventing-pythons-asyncio

Visitran

Build data transformation pipelines using Python with a visual IDE and AI assistant.

https://github.com/Zipstack/visitran

The Hidden Mechanism Behind Clean Python APIs (Descriptor Deep Dive)

Descriptors define how Python resolves attribute access, explaining why values sometimes come from the instance, class, or elsewhere in non-obvious ways. Understanding descriptor rules enables cleaner, more reusable designs by giving you precise control over attribute behavior.

https://www.youtube.com/watch?v=7SUzTOkUVLY

rsloop

An event loop for asyncio written in Rust.

https://github.com/RustedBytes/rsloop

justx

A TUI command launcher built on top of just. Define recipes once, run them anywhere.

https://github.com/fpgmaas/justx

agentscope-ai / ReMe

ReMe: Memory Management Kit for Agents - Remember Me, Refine Me.

https://github.com/agentscope-ai/ReMe

Pydantic AI - Intro to Agentic AI with Pydantic AI framework

We'll look at using Pydantic AI to build agent-based workflows, starting with simple fundamentals, and building up to more complex examples that use vector databases, RAG, multi-agent workflows and more.

https://www.youtube.com/playlist?list=PL-2EBeDYMIbSWGoDzOFm33_5W_ShO-VIi