2022-12-08
6013
#rust
Zeeshan Lakhani
144728
Dec 8, 2022 ⋅ 21 min read

Composing an observable Rust application

Zeeshan Lakhani Cofounder and organizer of Papers We Love and PWLConf, applied researcher working on local-first software (among other things) at fission.codes, and PhD student at Carnegie Mellon University, studying Programming Language Theory.

Recent posts:

Exploring the new Chakra UI MCP Server

Discover how the Chakra UI MCP server integrates AI into your editor, reducing context switching and accelerating development by fetching real-time documentation, component data, and code insights directly in-app.

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Build AI Agent Without Langchain JS

LangChain.js is overrated; Build your AI agent with a simple fetch call

Skip the LangChain.js overhead: How to build a Retrieval-Augmented Generation (RAG) AI agent from scratch using just the native `fetch()` API.

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the replay october 8

The Replay (10/8/25): Data enrichment, CSS is back, TypeScript 5.9

Discover what’s new in The Replay, LogRocket’s newsletter for dev and engineering leaders, in the October 8th issue.

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Goodbye, messy data: An engineer’s guide to scalable data enrichment

Goodbye, messy data: An engineer’s guide to scalable data enrichment

Walk through building a data enrichment workflow that moves beyond simple lead gen to become a powerful internal tool for enterprises.

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