Colin Breck @breckcs
Principal Engineer at Tesla. Working on databases, distributed systems, and edge computing platforms for energy. Views are my own. blog.colinbreck.com Kingston / Bay Area Joined July 2014-
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Blogged: Adapting to AI: Write Things Down blog.colinbreck.com/adapting-to-ai…
DuckDB Labs becomes DuckLabs. We ended up working on more than DuckDB, i.e., DuckLake and most recently, Quack. It was time to change the company name to reflect this. Nothing else changes – read our blog post for more details. ducklabs.com/news/2026/05/2…
Words should always be careful, but not necessarily precise. Sometimes the imprecise word is the right one. Nothing should be too tight, especially your thinking.
AI increases the demand for coordination work but doesn’t reduce the costs of coordination work. Watch for coordination challenges to increase in the near future.
Predicting the Future of Distributed Systems youtube.com/watch?v=NEkO7n…
I'm hiring in Palo Alto, Austin, Amsterdam, and Toronto. Reach out if you want to work on distributed systems, databases, or edge computing for scaling solar manufacturing, battery energy storage, vehicle charging, virtual power plants, and more.
@breckcs It’s such an underrated skill. In an organization everything is in constant movement. If you want to contribute a maximum you need to understand your environment, what is lacking and how you and team can contribute best. Self-Awareness.
The number one skill for a manager? Self-awareness. Everything else is secondary.
Read-only access to an S3 bucket, a Kafka topic, a data warehouse table, etc. is a gateway drug.
Great question. I don't use LLMs for writing. I use agents extensively for brainstorming, research, checking facts, handling markup, finding references, indexing data, and so on. But I think that asking people to read LLM-generated text breaks a kind of social contract.
@MarcJBrooker Hi Marc - curious if you have any updated thoughts on writing in the age of LLMs? Writing helps crystallize and defend ideas but what happens when both the reader and author start to lean more and more on letting LLMs think for them?
Similarly, a columnar database is not a time-series database. Conflating the two has also limited innovation in time-series databases.
A metrics database is not the same as a time-series database. Conflating the two has limited innovation in time-series databases.
Pre-object store design permeates the whole architecture. If you swap out storage, you are still left with an architecture that predates object stores. Leadership election, compute, caching.. your entire system needs to be rebuilt.
"object store native" gets tossed around too lightly. As I see it, there are 3 gens of systems: (a) col/tiered storage, (b) disaggregated compute and (c) stateless (?) "we use object storage for durability" feels substantially different from "nodes are just caches"
@omega_whale x.com/GergelyOrosz/s…
How have the fundamentals of building large, distributed software systems changed the last decade? A conversation with Martin Kleppmann (author of Designing Data-Intensive Applications) - given that the second, updated edition of the book was just released. Timestamps: 00:00
I loved reading the first edition of "Designing Data-Intensive Applications". It is the most comprehensive book on the types of systems I work on. I recently started reading the second edition. It was a pleasant surprise—and rather humbling—to read the references in Chapter 1.
A new Supercharger feature my team worked on.
Supercharger wait times have been reducing through more Superchargers, larger sites, better Trip Planner and better long-term planning. The best wait is no wait, but our Supercharger build plan forecasts aren't perfect and surge events do happen. In some cases, customers start
A metrics database is not the same as a time-series database. Conflating the two has limited innovation in time-series databases.
@cbiale78 Yes, these things for sure. The main difference is a time-series database is used for operations and the demands are much greater.
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