Introduces Knowledge-Based Pull Requests as a workflow that separates knowledge acceptance from code merge using agent distillation and project-side regeneration.
Spec-Driven Development: From Code to Contract in the Age of AI Coding Assistants, 2026
4 Pith papers cite this work. Polarity classification is still indexing.
4
Pith papers citing it
years
2026 4representative citing papers
A new six-dimension process taxonomy for AI software development frameworks shows convergence on artifact persistence and human oversight but reveals that no framework covers all dimensions strongly, indicating a depth-portability trade-off.
Design-OS is a specification-driven five-stage framework for engineering system design that maintains traceability from intent to implementation and supports human-AI collaboration, demonstrated on rotary inverted pendulum control cases.
Presents a contract-driven adversarial verification architecture for AI-native software production with early deployment observations from 17 features.
citing papers explorer
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Knowledge-Based Pull Requests: A Trusted Workflow for Agent-Mediated Knowledge Collaboration
Introduces Knowledge-Based Pull Requests as a workflow that separates knowledge acceptance from code merge using agent distillation and project-side regeneration.
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From Prompt to Process: a Process Taxonomy and Comparative Assessment of Frameworks Supporting AI Software Development Agents
A new six-dimension process taxonomy for AI software development frameworks shows convergence on artifact persistence and human oversight but reveals that no framework covers all dimensions strongly, indicating a depth-portability trade-off.
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Design-OS: A Specification-Driven Framework for Engineering System Design with a Control-Systems Design Case
Design-OS is a specification-driven five-stage framework for engineering system design that maintains traceability from intent to implementation and supports human-AI collaboration, demonstrated on rotary inverted pendulum control cases.
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Meta-Engineering Harnesses for AI-Native Software Production: A Contract-Driven Adversarial Verification Architecture with Early Deployment Report
Presents a contract-driven adversarial verification architecture for AI-native software production with early deployment observations from 17 features.