Sweep aims to automate basic dev tasks using large language models
Summary
A separate poll from Propeller Insights and Rollbar found that over a third of developers spend around a quarter of their time fixing bugs, with slightly more than a quarter (26%) setting aside up to half their time fixing bugs.The trend frustrated William Zeng and Kevin Lu. But since then, the startup has closed a new financing round, raising $2 million from Goat Capital, Replit CEO Amjad Masad, Replit VP of AI Michele Catasta and Exceptional Capital at a $25 million post-money valuation.Sweep allows devs to describe a request in natural language for example, add debug logs to my data pipeline outside of an IDE and generate the corresponding code. We have one of the best unit test generation abilities available and will run and execute tests in real time, he continued.In the future, Sweep plans to beef up its platforms code generation capabilities with StarCoder, the open source code-generating model from Hugging Face and ServiceNow.Given AIs tendency to make mistakes, though, Im a little skeptical of Sweeps reliability over the long run. Were using our knowledge around both older and newer methods to make Sweep robust.Sweep charges a pretty penny for its services $480 per seat per month. Were going to continue focusing on Python, and improving across all areas of tech debt from unit testing, refactoring and handling leftover to-dos in the code.