|
|
|
|
|
|
by javaunsafe2019
561 days ago
|
|
|
I already wrote on another thread already but do it again: copilot failed me for any serious task. Let it be refactoring of a bit more complex Java method or iac code. Everytime there are hidden quirks and failures that make it easier to just do it myself instead of searching for the needle for minutes…. This combined the fact that ai already hitting a wall in terms of scaling gives a good outlook what’s its predictive future seems to be: successful in the far future when we have quantum computing or the like… |
|
|
Those who seems to get the best results asks for a prototype or framework for how to do something. They don't expect to use the AI generated code, it's purely there as inspiration and something they can poke at to learn about a problem.
Most seems to have a bad experience. Either the LLMs doesn't actually know much, if anything about the subject, and makes up weird stuff. A few colleagues have attempted to use LLMs for generating Terraform, or CloudFormation code, but have given up on making it work. The LLMs they've tried apparently cannot stop making up non-existing resources. SRE related code/problems anecdotally seems to do worse than actual development work, but it feel to like you still need to be a fair good developer to have much benefit from an LLM.
The wall we're hitting may be the LLMs not actually having sufficient data for a large set of problems.