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  1. Developing an AI agent is a new experience for most software developers. Here is my experience developing an AI agent

    10 min read
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  2. Creating good marketing copy is hard, specifically the imagery associated with the copy. The good news is that AI image generation is getting really good. It's not good enough to make production images but it …

    5 min read
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  3. Foreign Keys Referencing System Tables

    Dolt now supports declaring foreign keys that reference the name field on the dolt_branches system table. This allows you to create tables that track additional data for the branches in your database, and help…

    8 min read
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  4. The DOLT_DIFF() table function now supports --skinny and --include-cols options for more focused diff output!

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  5. Learn how Go channels can solve a particular form of interface mismatch common in application development.

    6 min read
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  6. We recently automated the release process for the Dolt Workbench desktop application using GitHub Actions. This article discusses how we did it.

    7 min read
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  7. Columnar storage is widely used in industry-leading OLAP databases and provides many benefits for analytic workloads. If we wanted columnar storage in Dolt, what are some challenges we would face?

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  8. Announcing Dolt SQL Server MCP

    We've added Dolt MCP directly to Dolt! This blog will show you how spin up both the Dolt SQL server and Dolt MCP server with a single command.

    6 min read
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  9. Having spent the past six months diving deep on agentic artificial intelligence, it became clear agents need three pillars to operate correctly: a capable model, version control, and testing. This article expl…

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  10. Maxwell's Daemon Works with Dolt

    Maxwell's Daemon is a change data capture tool that reads from a MySQL binary log stream and publishes the data changes to a variety of endpoints such as Redis, RabitMQ, Amazon SNS, Kafka, Amazon Kinesis, and …

    10 min read
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  11. Remote Authentication Explained

    Pushing and Pulling data to remote locations requires you to authenticate. Let's discuss

    8 min read
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  12. Dolt now has support for VECTOR columns, and with it a noticeable improvement in vector index performance.

    4 min read
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  13. Resolving Merge Conflicts on the Web

    Learn how to resolve merge conflicts directly from the pull request UI in Dolt's web products, making conflict resolution easier without needing the SQL shell.

    6 min read
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  14. Unit Tests for your Dolt Database

    Use dolt_tests to ensure data quality and correctness.

    4 min read
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  15. As a software engineer working with AI agents, I've developed a workflow for using multiple agents simultaneously to increase productivity!

    11 min read
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  16. Part three of our beginner Docker series, introducing Docker Swarm and how to run and scale services with stack files.

    15 min read
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  17. Debugging `dolt login`

    `dolt login` allows you to authenticate a `dolt` client against DoltHub or DoltLab. It usually works, but when it fails, this article will help you debug it.

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  18. Agents Need Clones

    Agents need clones for write isolation to prevent mistakes. Dolt is the only SQL database that supports clones. Dolt is the database for agents.

    6 min read
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  19. Does Dolt Need MCP?

    We recently launched the Dolt MCP Server. Dolt works pretty well with coding agents without an MCP server. So, what's the point? This article answers that question, works through a detailed Dolt MCP Server exa…

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  20. Part two of a beginner series introducing Docker Compose and how to use it to run multi-container applications locally with one file and one command.

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  21. Tim Sehn

    Tim's Weekly DoltHub Update

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