test-driven development
PulseAugur coverage of test-driven development — every cluster mentioning test-driven development across labs, papers, and developer communities, ranked by signal.
6 day(s) with sentiment data
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Databricks launches Consort for test-driven database branching
Databricks has introduced Consort, an open-source agentic framework designed to enable test-driven development with a real branching database. This framework leverages Databricks' Lakebase Postgres technology, which all…
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AI-driven skill bundle echoes 15-year-old development practices
A Mastodon user reflects on a recently hyped skill bundle that includes test-driven development, systematic debugging, and mandatory reviews. The user notes that they learned these practices from a colleague fifteen yea…
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Martin Fowler questions TDD's value in AI agent loops
Martin Fowler explores the practical application of test-driven development (TDD) within an agent loop, questioning whether it offers genuine value or is merely performative. He examines how TDD principles might be inte…
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AI-generated code quality assured by multi-stage developer process
A developer is implementing a seven-link quality assurance process for AI-generated code, recognizing that AI's speed outpaces human review capabilities. This process begins with AI-generated requirements and design, wh…
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Automated Software Development Loop Achieved Through Code Control
This post details a method for automating the software development loop, specifically focusing on test-driven development (TDD) and implementation stages. The author contrasts a "fake loop" where the AI model frequently…
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AI agents need robust, independently verified gates to ensure trustworthiness
The author discusses the challenges of creating trustworthy evaluation gates for AI agents, emphasizing that a gate is only as strong as the imagination used to attack it. A key failure mode identified is when the gate'…
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Developers shift to 'vibecoding' with AI, emphasizing intent over syntax
The article discusses a shift in software development towards "vibecoding," where developers use AI to generate code based on intent rather than precise syntax. This approach requires a new workflow emphasizing responsi…
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AI integration boosts test-driven development for web developers
The integration of AI into software development is highlighted as a significant opportunity to enhance test-first development practices. This approach suggests that AI tools can bolster the effectiveness and adoption of…
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Airbnb develops Eval Driven Development for AI testing
Airbnb has developed a methodology called Eval Driven Development (EDD) to address the challenges of testing non-deterministic AI solutions. This approach is similar to Test Driven Development (TDD) and aims to provide …
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AI coding tools shift focus to pre-code debate and post-code review
Developers are increasingly adopting AI tools that encourage critical pre-coding discussions and post-coding reviews, rather than focusing solely on code generation. Skills like 'grill-me' and 'grill-with-docs' are seei…
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AI agents: predictable workflows with SDD, TDD, and self-checking
This article details methods for predictable interaction with AI agents, focusing on Software Design Document (SDD) and test-driven development (TDD) principles. It emphasizes the importance of self-checking mechanisms …
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Spec-Driven Development Emerges as Key for AI Code Generation
The author advocates for Spec-Driven Development (SDD) as a solution to the limitations of "vibe coding" with AI agents like Claude Code and Cursor. SDD emphasizes creating versioned markdown specifications that outline…
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New research tackles AI code generation evaluation and testing
Two new research papers explore advancements in evaluating AI-generated code. The first, TENET, introduces a framework for repository-level code generation using test-driven development, achieving high Pass@1 scores on …
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Spec-Driven Development (SDD) emerges as a new standard for AI coding
Spec-Driven Development (SDD) is presented as a method for AI coding where the specification document serves as the ultimate source of truth. This approach aims to clarify the workflow, differentiate itself from Test-Dr…
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AI's impact on software architecture and maintenance debated
The concept of Agentic Engineering Patterns is being explored, focusing on how AI code generation impacts software architecture and maintenance. Discussions revolve around whether AI tools enhance architectural skills o…
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AI agents in software engineering spark debate over production deployments
The use of AI agents in software engineering, particularly for production deployments, is being debated. Key considerations include the role of LLM orchestration, test-driven development, and the necessity of cybersecur…
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AI coding tools shift test-first vs. test-after debate
A developer's experience report explores how AI-assisted coding impacts the traditional debate between test-first and test-after development methodologies. While test-first has historically been favored in manual coding…
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Cursor IDE struggles with test-driven development on long tasks
A user on Reddit's r/cursor community is experiencing difficulties with the Cursor IDE's test-driven development (TDD) functionality. They report that the IDE struggles to maintain TDD cycles on longer tasks, leading to…
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EvanFlow enhances Claude Code with TDD-driven feedback loop and human control
EvanFlow is a new tool designed to improve the coding capabilities of Anthropic's Claude AI. It implements a Test-Driven Development (TDD) feedback loop, providing developers with structured checkpoints and human oversi…