Meta-Prompting: AutoGen to develop alphabet game by augment
When developing software—especially as codebases grow to thousands or even tens of thousands of lines—developers often encounter hard-to-fix bugs, or fixing one issue may introduce new problems. Even simple projects can require significant time to implement all desired features. Many existing AI programming tools, such as Cursor, are limited by their context window, typically supporting only about 10K tokens, which is roughly 400 to 600 lines of standard Python code. This short context length restricts the AI’s understanding of the entire project, making it difficult to identify key dependencies and architectural information. As a result, these tools can only handle single files or small-scale projects.
Continue Reading