Metabob is a vital tool for organizations grappling with expansive and complex legacy codebases, which makes detecting potential bugs and suggesting fixes a resource-draining problem; Metabob turns code maintenance into a manageable task.
By analyzing new code in real time, Metabob helps identify potential bugs early in the development process, thereby saving development time, improving software quality, and preventing costly post-deployment fixes.
As a sophisticated analysis tool, Metabob can scan AI-generated code for bugs, validate cohesion with the rest of the project and suggest corrections, acting as a crucial feedback loop that helps AI code generation models improve over time.
Using enriched code commit data from industry specific datasets and your internal commit history (if available), Metabob's AI detection models can learn to detect industry specific problems when installed on-premise.
Intermittent server crashes
Unpacking compressed file causes server to use all available memory
Application unable to start new threads after a run period
Max process pool was set to a fixed value, which was higher than some machines were able to handle
Module misuse (multiprocessing)
Training data is being overrepresented in certain batches
Threaded data generator is referring to a shared memory object that isn’t released explicitly
Module misuse (pandas)
Application uses 100% of available CPU on certain setups
Overcommitting resources due to not properly setting the process limits from the data provided by the system API
Module misuse (multiprocessing)Platform specific problems