jordanhubbard/nanolang
Explores NanoLang, a new programming language designed for LLMs, and tests AI's ability to generate working code in it.
Explores NanoLang, a new programming language designed for LLMs, and tests AI's ability to generate working code in it.
An experiment in creating a software library with no code, using AI agents to generate implementations from specifications and tests.
Explores a software library with no code, using AI agents to generate implementations from specifications and conformance tests.
Using AI to convert Chrome DevTools recordings into WebDriver Java code for test automation, exploring an open-source alternative to commercial tools.
Using the free OpenCode AI agent with Grok to automatically generate Page Objects and WebDriver test code in Java, leveraging Chrome DevTools for locators.
An experiment testing the limits of autonomous AI code generation for a Spring Boot app, revealing current limitations and the need for human oversight.
A developer built MenuGen, an app that uses AI to generate images of menu items from a photo, and shares their experience creating it with AI coding tools.
Explores why software testing becomes more critical with AI-generated code, predicting trends like embedded tests, AI automation, and evolving manual QA roles.
A rebuttal to claims that AI will replace software engineers, arguing that coding is a small part of the job and that good software design principles already exist.
Using DeepSeek AI to write and refine a Java solver for the 'Crazy Cheeze' puzzle, exploring code generation and evaluation.