Spring GDS 25th Anniversary
A logistics company that ships to 190 countries built something to ship to itself.
GitHub Copilot
What is GitHub Copilot?
GitHub Copilot is an AI coding assistant built by GitHub and OpenAI. It lives inside the editor and suggests code as you type, completing lines, drafting whole functions from a comment, and answering questions about a codebase through chat. Under the hood it runs on large language models trained on public code and natural language. Launched in 2021, it was the first AI pair programmer to reach wide adoption and helped kick off the wave of tools that followed.
In practice it shines at the predictable parts of programming. Boilerplate, repetitive patterns, test scaffolding, and translating a clear comment into a first draft of code. A developer writing a function to validate an email address can type a comment describing it and get a working implementation to review and adjust. What it does not do is understand intent or guarantee correctness. It predicts plausible code, which means it can produce confident, subtly wrong, or insecure suggestions that a human has to catch.
It sits among a growing field of assistants alongside tools like Cursor and others, and the category is moving fast. The constant across all of them is that the model accelerates a developer, it does not replace the judgment.
GitHub Copilot at Dallonses
We use Copilot and tools like it the way they are meant to be used, as an accelerator for senior engineers who know what good code looks like. It speeds up the routine parts so our people spend their attention on architecture, edge cases, and the decisions that actually matter. The work still gets reviewed by a human who is accountable for it.
We are deliberate about where AI-generated code goes and where it does not, especially around security, correctness, and anything touching client data. A suggestion is a draft, never a final answer. That discipline is the difference between AI making a team faster and AI quietly shipping bugs, and it is how we keep velocity and quality in the same project.
Want a team that uses AI tooling with judgment, not blind trust? Let's talk.
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