This content originally appeared on DEV Community and was authored by Jigar Shah
Boilerplates have long been the go-to for developers starting new projects. They provide a ready-made structure, enforce standards, and save us from writing the same setup code again and again.
But with AI-powered tools like GitHub Copilot, ChatGPT, and other code generators, the question arises: do we still need boilerplates in 2025?
AI can scaffold a project in minutes, generate configs, and even suggest best practices on the fly. It feels like the gap boilerplates once filled is now being covered by smarter, context-aware assistants.
On the other hand, boilerplates still offer:
- Consistency: Everyone in the team starts with the same foundation.
- Standards baked in: Security, logging, CI/CD, and architecture patterns aren’t left to chance.
- Battle-tested reliability: AI may hallucinate, but boilerplates capture lessons from real-world deployments.
So maybe it’s not “AI vs boilerplates” but rather AI + boilerplates—where AI personalizes and extends the foundations boilerplates provide.
What do you think?
- Will boilerplates fade away as AI gets better?
- Or do they still have an irreplaceable role in ensuring standardization and reliability?
I’d love to hear how you and your team approach this—especially if you’ve tried blending AI with boilerplate setups.
This content originally appeared on DEV Community and was authored by Jigar Shah
Jigar Shah | Sciencx (2025-09-24T08:07:47+00:00) Are Boilerplates Becoming Obsolete in the Age of AI Code Generation?. Retrieved from https://www.scien.cx/2025/09/24/are-boilerplates-becoming-obsolete-in-the-age-of-ai-code-generation/
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