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URL: https://blog.nimblepros.com/authors/barretblake/

⇱ Barretblake | NimblePros Blog


Posts

  1. 👁 Barretblake
    June 23, 2026

    Why Clean Architecture's explicit boundaries make it the ideal guardrail for keeping AI coding agents consistent and maintainable.

  2. 👁 Barretblake
    June 09, 2026

    No API keys. No cloud. Just your documents, a local LLM, and a dream.

  3. 👁 Barretblake
    May 26, 2026

    Let's walk through a practical implementation of a modular monolith project in .NET

  4. 👁 Barretblake
    May 19, 2026

    While a single generalist AI coding agent can be useful, sometimes it helps to have teams of specialist agents working in coordination.

  5. 👁 Barretblake
    May 05, 2026

    Ardalis, Barret, Michelle, and Sadukie presented this year, and we were all in attendance. In this post, we're sharing some of our adventures from Stir Trek …

  6. 👁 Barretblake
    April 28, 2026

    With agent-driven workflows, you are able to describe an outcome and have the agent figure out the steps to reach that outcome.

  7. 👁 Barretblake
    April 23, 2026

    There are things that an AI coding agent simply isn't capable of doing out of the box. This is where MCP servers come in.

  8. 👁 Barretblake
    April 21, 2026

    Teach your agents how to do specific things - knowledge for repeatable tasks. This is the domain of skills files.

  9. 👁 Barretblake
    April 14, 2026

    You launch an AI, give it a prompt, and the result generally isn't great. AI agent instruction files help guide your agent to better results.

  10. 👁 Barretblake
    April 07, 2026

    Code reviews are among the highest value, yet most time consuming aspects of the modern development process. While it cannot, and should not, replace human …

  11. 👁 Barretblake
    March 31, 2026

    Unit testing has been around for a long time. We know how to do it. It's a well established pattern and it just works. But unit testing an LLM is nothing like …

  12. 👁 Barretblake
    March 24, 2026

    Experiment Driven Development lets you test new ideas and features on a small subset of users.