Featured
Why we built n00dles from scratch instead of patching LangChain
Six months, 4,000 lines of boilerplate, and one 2am incident later — we decided the existing options weren't good enough. Here's the full story.
Engineering
Parallel agents with one line of code
Most LLM pipelines are embarrassingly sequential. Here's how n00dles' parallel() primitive works under the hood.
Ryo Tanaka · May 316 min →
Production
State management in production LLM pipelines
Checkpointing, distributed locks, crash recovery, and why your in-memory state store will eventually betray you.
Leo Marchetti · May 2211 min →
Opinion
The hidden cost of LangChain
It's not just the boilerplate. The real cost is the abstraction debt you accumulate every time you paper over a bad API.
Zara Okonkwo · May 87 min →
Tutorial
Building a deep research pipeline in 50 lines
Web scraping, parallel analysis, synthesis, and structured output — all wired with n00dles in one afternoon.
Priya Sharma · April 2914 min →
Deep dive
How we think about retries in multi-agent systems
Not all failures are equal. Transient errors, rate limits, semantic failures, and timeouts each need their own strategy.
Leo Marchetti · April 148 min →
Release
Announcing n00dles v0.1.0 — public beta
After six months of internal development and two production deployments, we're open-sourcing n00dles.
Zara Okonkwo · April 15 min →