Tools 64. axe Linter Assess It’s becoming increasingly easy for developers to catch accessibility issues early in the development process. While tools like axe-core scan code for accessibility issues in your pipelines, the axe Linter VSCode extension helps find them even before that, while writing code. The vast majority of accessibility issues fall into categories that could be prevented by automated testing and using live feedback linters like this. 65. ChatGPT Assess ChatGPT is an interesting tool that has the potential to be useful for various aspects of the software creation process. As a large language model (LLM) that has “read” billions of web pages, ChatGPT can provide additional perspectives and assist with different tasks, from generating ideas and requirements to creating code and tests. Its ability to work across multiple parts of the software lifecycle makes it a versatile tool that might improve efficiency and reduce errors in the development process. GPT4, the LLM that powers ChatGPT, now also has the ability to integrate with external tools such as a knowledge management repository, sandboxed coding environment or web search. For now, we think that ChatGPT is best used as an input to a process, such as helping with a first draft of a story or the boilerplate for a coding task, rather than a tool that produces “fully baked” results. There are concerns around intellectual property and data privacy with these AI tools, including some unresolved legal questions, so we recommend organizations seek advice from their legal teams before use. Some of our clients have already begun experimenting with ChatGPT across various stages of the software lifecycle, and we encourage others to explore the tool and assess its potential benefits. We expect that, like GitHub Copilot, a “for business” offering will soon be available which may ease intellectual property concerns. 66. DataFusion Assess DataFusion is a part of the data community’s exploration of Rust’s performance, memory safety and concurrency features applied to data processing. It shares similarities with Polars, namely a familiar DataFrame API in Rust (with Python bindings), the use of Apache Arrow under the hood and SQL support. Even though it’s primarily designed for single-process execution, distributed processing support is in the works within Ballista. We think the Rust libraries for data processing are an evolving space worth following and exploring, and DataFusion is a part of it. © Thoughtworks, Inc. All Rights Reserved. 33