1. DevToolsDigest
  2. issue #354

DevToolsDigest: Issue #354

This week's digest includes news and resources from Google, Fivetran, and more.

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    2 MIN

    The Week in DevTools

    Announcing the 2025 DORA Report

    The report reveals a key insight: AI doesn't fix a team; it amplifies what's already there. Strong teams use AI to become even better and more efficient. Struggling teams will find that AI only highlights and intensifies their existing problems.

    Atuin Desktop: Runbooks that Run

    Most infrastructure is held together by five commands someone remembers when shit breaks. Docs are out of date, if they exist. The real answers? Buried in Slack threads, rotting in Notion, or trapped in someone's shell history.

    Bundler Belongs to the Ruby Community

    In the last few weeks, Ruby Central has suddenly asserted that they alone own Bundler. That simply isn’t true. The fundamental goal for both the non-profit and the open source projects is clear: this is all for the Ruby community.

    Industry Research

    Context Engineering for AI Agents

    Context engineering is still an emerging science—but for agent systems, it's already essential. Models may be getting stronger, faster, and cheaper, but no amount of raw capability replaces the need for memory, environment, and feedback.

    Pairing with Claude Code to Rebuild My Startup’s Website

    "For experienced developers, this probably sounds routine. For me, it was surprising to discover that AI-assisted coding worked in a relatively common software development workflow: branches, PRs, code review, testing, and deployment."

    Lessons Learned from Building an Infrastructure Devtool

    Deep domain expertise and best practices help create abstractions that truly fit. But the final touches, such as great API design, intuitive property names, and just the right amount of configuration, are more art than science.

    Developer Venture News

    Fivetran in Talks with dbt Labs

    A possible merger between Fivetran and dbt Labs could eliminate redundancies between the two platforms and help to make them more relevant in areas such as AI data preparation, while reducing fragmentation and enabling more rapid analytics.