Smart engineering teams are working out how to use Large Language Models (LLMs) to solve real business problems. At Raygun, we're no exception, and we're committing our time and effort to developing AI software applications that bring value to our customers. Our first AI-powered release is AI Error Resolution (AIER), a novel Crash Reporting feature that takes debugging with ChatGPT to the next level. We know that LLMs have already dramatically increased software engineers' productivity.

In the world of software development, quickly finding and fixing errors drives better experiences for both end-users and developers. One key tool in this process is the symbol map, which records debugging information that was lost in the compilation process. Symbol maps (or source maps if we're talking JavaScript) connect the code developers write to the minified code in production, making it easier to decipher crashes by pinpointing the exact source code that caused the error.