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AI-native software engineering may be closer than developers think

CIO

This agentic approach to creation and validation is especially useful for people who are already taking a test-driven development approach to writing software,” Davis says. With existing, human-written tests you just loop through generated code, feeding the errors back in, until you get to a success state.”

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Real World Programming with ChatGPT

O'Reilly Media - Ideas

But what’s also clear is that the process of programming doesn’t become “ChatGPT, please build me an enterprise application to sell shoes.” In this post, Fowler describes the process Xu Hao (Thoughtworks’ Head of Technology for China) used to build part of an enterprise application with ChatGPT. His first prompt is very long.

ChatGPT 149
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The Best Product Engineering Org in the World

James Shore

We use Extreme Programming as our model of how to develop software. They also love test-driven development, pairing, continuous integration, and evolutionary design. They tend to be passionate, senior developers. This is what test-driven development is all about, and its an amazing way to work.

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Preparing for AI

O'Reilly Media - Ideas

Writing about ChatGPTs memory feature, Simon Willison said , Using LLMs effectively is entirely about controlling their contextthinking carefully about exactly what information is currently being handled by the model. 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

In 2021, we saw that GPT-3 could write stories and even help people write software ; in 2022, ChatGPT showed that you can have conversations with an AI. Now developers are using AI to write software. Yet here we are, and we don’t have ChatGPT or generative AI in our taxonomy. A lot has happened in the past year.

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LLMs Demand Observability-Driven Development

Honeycomb

Observability-driven development is necessary with LLMs Over the past decade or so, teams have increasingly come to grips with the reality that the only way to write good software at scale is by looping in production via observability—not by test-driven development, but observability -driven development.

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LLMs Demand Observability-Driven Development

Honeycomb

Observability-driven development is necessary with LLMs Over the past decade or so, teams have increasingly come to grips with the reality that the only way to write good software at scale is by looping in production via observability—not by test-driven development, but observability -driven development.