from Knitli
Writing
Occasional notes — mostly company news, the odd longer thought. We don’t post to a schedule; we write when there’s something worth saying.
Ghost Repos: The Most Dedicated Projects Nobody's Ever Heard Of
I queried 5TB of GitHub activity data to find repositories with hundreds of commits, tests, CI pipelines, and releases — and almost no stars. What I found says a lot about how we discover software.
Local Queries; Cloud Quality. Voyage-4's Shared Embedding Space
VoyageAI's new models are incredible, and create opportunities for much cheaper and better vector search.
AI Killed One Open Source Business Model, Not Open Source
Content driven open source strategies are failing in the AI era. The rules have changed, but open source is far from dead.
Context Engineering: How We Work Around the Goldfish Problem
Learn how context engineering helps manage LLM context windows, the limitations of summarization, and strategies to optimize AI coding tools for better performance.
Welcome to the Knitli Blog
Introducing our blog where we share insights on building better developer tools, AI context management, and the future of software development.
From Intelligence Expert to AI Business Leader: A Surprising Path
How an 18-year career in intelligence leadership shaped my journey to founding an AI startup focused on democratizing AI for all users. The same principles of removing barriers and enabling people to do their best work apply—just in a different domain.
Tree-Sitter Grammars Explained: Leveraging Data for Clarity
A deep dive into Tree-sitter grammar structures, clarifying confusing terminology and demonstrating how empirical analysis across 25 languages led to a clearer, more intuitive understanding of parsing concepts.
Context and Context Windows: What You Need to Know
Understanding how large language models (LLMs) handle context is crucial for effective AI usage. This post explores context windows, their limitations, and strategies for managing context in AI applications.
I Let Four AI Code Reviewers Fight Over My PRs
Why sometimes obnoxious and repetitive AI code review is better than no code review.
Understanding Tokens: What They Are and Why They're Important
This article explores the concept of tokens in AI, highlighting how they differ from words and are the fundamental units processed by AI models like ChatGPT. It explains the cost implications of processing tokens due to the intensive computations required on GPUs, making them a significant cost driver in AI operations. Understanding tokens is crucial for grasping AI mechanics, pricing, and efficiency. Part 1 of Knitli’s 101 introductions to AI and the economics of AI.
That’s everything. ◆