Introducing Consort: A Spec-First Agent Framework for Enforced, Test-Driven Development on Live Database Branches
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Abstract (arXiv)
When an agent writes code, the development framework becomes the control system for a non-deterministic worker. Spec-first, agent-driven frameworks have gained rapid traction since 2025; the installable ones, GitHub Spec Kit, obra/superpowers, BMAD, and GSD, and our own, all capture intent through a specification or durable planning artifacts. Since they agree on capturing intent up front, what separates them is how each enforces the engineering discipline that keeps agent-written code clean, correct, and maintainable. Every framework enforces that discipline somehow; they differ in how. We characterize three modes: enforcement by persuasion (prompt discipline the model may ignore), by front-loaded structure (strong specs, then a trusted build), and through controls the agent cannot edit (a deterministic orchestrator, human-approved gates, immutable tests, and a green result that must pass against a live, branched database). We introduce Consort, a spec-first, test-driven agent framework built on the third, enforcing that discipline through controls the agent runs inside but cannot bypass, in which a deterministic orchestrator drives separate role agents through a spec-first design lane and a test-driven build lane on a live database branch. We argue that enforcing the tests and gates in code keeps agent-written code honest and verifiable, while its specialized roles, like the human roles before them, are what make it maintainable, claims we frame as a pre-registered, testable hypothesis.
Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 6 of its 22 references that are in the map. First posted on arXiv 9 Sep 2026.
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References · 6
- 2025Measuring the Impact of Early-2025 AI on Experienced Open-Source Developer Productivitycited by 93
- 2025A Survey of Vibe Coding with Large Language Modelscited by 25
- 2026Spec-Driven Development:From Code to Contract in the Age of AI Coding Assistantscited by 14
- 2025Why AI Agents Still Need You: Findings from Developer-Agent Collaborations in the Wildcited by 11
- 2026How Coding Agents Fail Their Users: A Large-Scale Analysis of Developer-Agent Misalignment in 20,574 Real-World Sessionscited by 11
- 2026Are Coding Agents Generating Over-Mocked Tests? An Empirical Studycited by 5
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