The Radar recommends adopting tools like Bruno, K9s, and visual regression testing tools like BackstopJS, and suggests trialing AWS Control Tower, ClickHouse, and pgvector. It also highlights the growing interest in small language models (SLMs) as an alternative to LLMs for certain applications. The report draws a parallel between the current rapid growth of AI technologies and the expansion of the JavaScript ecosystem around 2015. The Technology Radar, created by Thoughtworks' Technology Advisory Board, provides valuable insights for developers, architects, and technology leaders navigating the rapidly evolving tech ecosystem.
Key takeaways:
- Thoughtworks' Technology Radar Volume 31 highlights the dominance of Generative AI and Large Language Models (LLMs) in the current technology landscape, with a focus on their responsible use in software development.
- Rust is gaining prominence in systems programming and WebAssembly (WASM) 1.0's support by major browsers is opening new possibilities for cross-platform development.
- The Radar stresses the need to balance AI innovation with proven engineering practices, maintaining crucial software development techniques like unit testing and architectural fitness functions.
- The Technology Radar also highlighted the growing interest in small language models (SLMs) as an alternative to large language models (LLMs) for certain applications, noting their potential for better performance in specific contexts and their ability to run on edge devices.