My thoughts written in digital ink.
Printing Press lets the consumer of an API synthesize the exact interface they need. I built a cost-aware Sumble CLI with it, which got me thinking about consumer-shaped software and a world where agents orchestrate while deterministic harnesses compile.
[Note] Impact of AlphaEvolve across fields
[Note] Combee, ACE, GEPA: prompt self-improvement outside the lab
A practitioner's account of 16 AI-driven optimization experiments on Apache Arrow's select_k_unstable kernel, from 2x to 396x.
[Note] KV Caches again
[Note] Claude Code Plugins as MVPs
[Note] Anthropic's Cowork
[Note] Keystatic for CMS
Two years ago I started working on something new based on a strong conviction that data was about to become exponentially more important. We built Typedef, an AI-native data engine that unifies inference, search, and data processing into a single system.
Snowflake's 2025 keynote announcement regarding dbt Core clarifies dbt Labs' controversial shift to change dbt Fusion's licensing model. This represents a rational business response to market dynamics.
Snowflake's Cortex AISQL represents a paradigm shift in integrating large language models into data systems as structured, composable functions rather than opaque tools.
A comprehensive approach to building scalable, composable pipelines for generating synthetic training data using Large Language Models, specifically focusing on creating question-answer pairs from documents.
How synthetic data is used to train and fine-tune large language models, with a focus on Meta's open-source synthetic-data-kit.
A deep dive into Meta's synthetic-data-kit architecture, a toolkit designed to generate high-quality synthetic datasets for fine-tuning Large Language Models.
The differences and similarities of DX and UX.
Why Apache DataFusion is one of the most important open source projects right now.
Learn about the latest advancements in execution engines and data processing at scale from the recent VeloxCon conference in San Jose.
The overlap between MLOps and Data Engineering
Frames, and SQL Window Functions. A tutorial on SQL Window Functions using DuckDB.
New Opportunities in the API Economy.
Working with Dates in SQL, with examples in DuckDB.
Working with Date and Time Types in SQL.
How to add a new data type in Trino.
How Streaming Data Can be Ingested in Snowflake.
Introduction to how Snowflake's pricing works.
What's Data Observability and why it matters?
My experience with the Data Stack Show
What Airbyte, Singer and Kafka Connect have in common
Snowflake vs Databricks