I have been using GitHub Copilot daily for about six months now. The discourse around it is polarized - some call it a revolutionary tool that will change programming forever, others call it a glorified autocomplete that suggests buggy code. The truth, as usual, is more nuanced.

Where Copilot Genuinely Helps

Boilerplate code. This is where Copilot shines brightest. Writing CRUD endpoints, form validation, data transformation functions, unit test scaffolding - the kind of code where the pattern is well-established and the logic is straightforward. Copilot completes these with high accuracy, and accepting a suggestion is much faster than typing it out.

Unfamiliar languages. I needed to write a small Rust utility last month. My Rust knowledge is basic at best. Copilot filled in syntax and idioms I would have spent time looking up. It did not write the logic for me, but it handled the language-specific ceremony - borrowing, lifetime annotations, match expressions - with decent accuracy.

Regular expressions. Writing a comment like // match email addresses and having Copilot generate a reasonable regex is legitimately useful. Regex is one of those areas where most developers (myself included) would otherwise spend time on a reference site.

Documentation and comments. Copilot is surprisingly good at generating JSDoc comments, docstrings, and inline documentation. It reads the function signature and generates accurate descriptions of parameters, return values, and behavior. Not perfect, but a solid starting point.

Where It Falls Short

Complex business logic. Anything that requires understanding the broader context of your application is where Copilot struggles. It can see the current file and maybe a few open tabs, but it does not understand your domain, your data model, or the invariants your system needs to maintain. For non-trivial logic, its suggestions are wrong more often than they are right.

Subtle bugs. The most dangerous Copilot suggestions are the ones that look correct at first glance but have edge case bugs. An off-by-one error in a loop boundary. A missing null check. A race condition in concurrent code. These are exactly the kinds of bugs that are hard to catch in code review because the code looks plausible.

Code quality. Copilot optimizes for code that works, not code that is well-structured. It sometimes suggests verbose approaches when a cleaner abstraction exists. It does not refactor - it generates. If you accept suggestions without thought, your codebase will gradually accumulate patterns that a skilled developer would not write.

The Real Productivity Impact

GitHub's own research claims a 55% faster completion time for tasks. My experience is more modest. I estimate Copilot saves me about 20-30 minutes per day, mostly on boilerplate and test writing. That is meaningful over time, but it is not the radical transformation that the marketing suggests.

The bigger impact is psychological. Copilot reduces the activation energy needed to start writing code. Staring at an empty function body is more daunting than having a suggested implementation to react to, even if that suggestion needs significant editing.

How I Use It Effectively

I treat Copilot as a junior developer sitting next to me. It can draft code quickly, but I need to review every line. My workflow:

  1. Write a clear function signature and a comment describing what I want.
  2. Let Copilot generate a first draft.
  3. Read the suggestion carefully - do not just tab-accept blindly.
  4. Accept, modify, or reject based on whether it matches my intent.
  5. Write tests regardless of whether Copilot helped with the implementation.

The critical habit is step three. The developers who get burned by Copilot are the ones who accept suggestions without reading them. If you turn off your brain and let Copilot drive, you will ship bugs.

Should You Use It?

At $10/month, the answer is yes for most professional developers. The time savings on boilerplate alone justify the cost. But you need to use it with the right mindset. It is a tool that makes you faster at the mechanical parts of coding. It does not make you a better engineer. The design decisions, architecture choices, and debugging skills are still entirely on you.

The developers who benefit most from Copilot are the ones who were already strong enough to evaluate its suggestions critically. Ironically, it helps senior developers more than juniors - because seniors can spot the bad suggestions faster.