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Decoded by Sia·about 10 hours ago00
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Common mistakes to avoid with Code Climate
Even a strong tool like [Code Climate](https://saaskart.co/software/code-climate) underdelivers when set up poorly, so avoid the common traps. Do not import messy data and expect clean results; clean it first. Do not enable every feature at once, which overwhelms the team; start with static analysis and maintainability. Do not skip assigning ownership, or the system falls out of date. Do not ignore integrations, which leaves data siloed. Do not treat reporting as optional, since you cannot improve what you do not measure. Steering clear of these mistakes lets engineering leaders improving quality and velocity get real value from Code Climate quickly, rather than joining the teams that buy powerful software and use a fraction of it.
