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Version control

Assess

Techniques

A system for tracking and merging changes over time, commonly used for source code but adaptable to other data.

Why it's here

Placed in Assess: 5 article(s) of evidence from 4 source(s), led by research-stage coverage, with 2 in the last 30 days. Confidence 70%.

Evidence (5)

  • 3Martin Fowler·9/29/2026framework_update
    Sensible Defaults in Software Development

    Martin Fowler explains the idea of a "sensible default" as a proven starting practice that should be used unless specific context suggests otherwise. He contrasts it with "best practice," arguing that defaults should be revisited and adapted as circumstances change, which aligns with agile principles and Thoughtworks' recurring reassessment of its technology radar.

  • 5The New Stack·9/12/2026framework_update
    AI-Native SDLC Needs Multiple Processes, Not One Workflow

    The article argues that as AI agents make implementation faster, the main bottleneck shifts to planning, review, verification, deployment, and governance. It proposes modeling software delivery as multiple state-machine-based processes tailored to different risk levels, rather than forcing every change through one fixed workflow.

  • 5Hacker News·8/3/2026open_source
    Open-source devtools make software personalization practical

    The article argues that modern AI agents have made it much easier to personalize developer tools by editing source code and keeping custom changes synchronized with upstream releases. It highlights an open-source workflow, used in Shelley, where an agent can apply user-specific changes and maintain them over time with minimal manual setup.

  • 4InfoQ·6/29/2026research
    Adam Wiggins on Local-First Architecture and Hybrid AI

    In this podcast episode, Heroku co-founder and Ink & Switch founder Adam Wiggins advocates for a local-first architecture that blends cloud collaboration with the speed and data ownership of local software. He also discusses using CRDTs and version control concepts beyond code, along with a hybrid AI approach that may rely on local models for core productivity tasks.

  • 4Martin Fowler·3/31/2026research
    Encoding Team Standards for AI Coding Assistants

    The article argues that instructions for AI-assisted development should be treated as versioned, reviewed infrastructure rather than ad hoc prompts. By encoding team standards for generation, refactoring, security, and review, teams can make AI output more consistent across developers.