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AI-native software engineering may be closer than developers think

CIO

Developers unimpressed by the early returns of generative AI for coding take note: Software development is headed toward a new era, when most code will be written by AI agents and reviewed by experienced developers, Gartner predicts.

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TDD with GitHub Copilot

Martin Fowler

At Thoughtworks, we are strong practitioners of Test Driven Development (TDD). Naturally this leads to the question of how generative AI can help with this technique. Paul Sobocinski writes a brief memo explaining how some of our teams have used TDD with GitHub Copilot.

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LLMs Demand Observability-Driven Development

Honeycomb

Our industry is in the early days of an explosion in software using LLMs, as well as (separately, but relatedly) a revolution in how engineers write and run code, thanks to generative AI. This means shipping sooner, observing the results, and wrapping your observations back into the development process.

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LLMs Demand Observability-Driven Development

Honeycomb

Our industry is in the early days of an explosion in software using LLMs, as well as (separately, but relatedly) a revolution in how engineers write and run code, thanks to generative AI. This means shipping sooner, observing the results, and wrapping your observations back into the development process.

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Preparing for AI

O'Reilly Media - Ideas

A good next step is asking an AI assistant to generate unit tests, either for existing code or some new code (which leads to test-driven development). Unit tests are a useful exercise because testing logic is usually simple; its easy to see if the generated code is incorrect.

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Technology Trends for 2023

O'Reilly Media - Ideas

Software Development The biggest change we’ve seen is the growth in interest in coding practices; 35% year-over-year growth can’t be ignored, and indicates that software developers are highly motivated to improve their practice of programming. Yet here we are, and we don’t have ChatGPT or generative AI in our taxonomy.

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