Zero Cost Inference
Why you should build for a world where inference costs nothing
Learnings on building for developers
Zero Cost Inference
Why you should build for a world where inference costs nothing
Good developer experience is a GTM hack
Developer experience is about unit economics, not aesthetics
In defense of thin wrapper startups
Platforms are discovered, not built
Towards cheaper, better, faster language models
How language models are getting cheaper, better, and faster
The problem with Github Stars
... and, how to tell a better story about your open source project
System 1 vs. System 2 automation
The biggest bottleneck to the adoption of LLM-based assistants is not model performance but product design
The future of programming with large language models
How large language models will improve developer productivity
Reasoning apps: the next frontier for LLMs
Reasoning, not creativity, is where large language models will have their most enduring impact
Beyond prompt engineering
Thinking outside the (text) box to find better interfaces for generative models
DuckDB and the next frontier of OLAP databases
How DuckDB is ushering in the next frontier of embedded OLAP databases.
What developer products can learn from language design
Programming languages and developer products have similar adoption drivers
Notes on developer product adoption
A non-brute force guide to thinking about developer product adoption
Streaming infrastructure
An overview of streaming infrastructure and what's next
Data catalogs
How data catalogs are evolving to become "the front door" of the modern data stack.
Permissions systems
A synthesis of the emerging permissions-as-a-service ecosystem.