PERHAPS NOT BORING TECHNOLOGY AFTER ALL

Summary from the TLDR newsletter

The recurring concern, that large language models will push technology choices towards the tools best represented in their training data, making it harder for new tools to break through the noise, doesn't really hold up anymore. New models have large enough context lengths that they can consume a lot of documentation before they start working on a problem. Most agents work just fine in existing codebases that use libraries or tools too private or new to feature in the training data. Developers are still free to choose whatever tools they want to use and are not restricted to using the ones LLMs are most familiar with.