Build a Production-Ready AI Document Query Engine | NextJS 16 | Agentic Coding
FullStack SaaS Architect
0:00 / 0:00
Build a Production-Ready AI Document Query Engine | NextJS 16 | Agentic Coding
4 332 просмотра · 2 недели назад
FullStack SaaS Architect
832 подписчика
4 332 просмотра · 2 недели назад
See how agentic coding automates building a complex app. Learn to build the docsy tool using Next.js 16, TypeScript, and Prisma.
This walkthrough focuses on using agentic coding to streamline development workflows. If you are exploring ai tools for business, this demonstration shows a practical implementation for contract analysis. I break down the stack including Next.js, shadcn, and better-auth to show how these technologies integrate into a modern production environment.
By following this build, you will see how everyday ai can handle the heavy lifting in software engineering. I explain the architecture behind the docsy app and how the agentic approach differs from standard coding practices. If you want to understand ai explained through real-world application, this project serves as a blueprint for your own development tasks.
Subscribe for weekly software engineering breakdowns, and comment which features you want to see added to the docsy project next.
Source code: https://github.com/aalleejustadev/docsy
Timestamps:-
0:00:00 - Intro
0:01:22 - Project walkthrough
0:08:52 - Project setup
0:13:00 - GitHub Repo
0:22:00 - Header
0:37:50 - Marketing page
1:05:40 - Responsiveness
1:11:00 - Database & Authentication
1:38:00 - Dashboard page
2:03:00 - Settings page
2:22:50 - Chat page
2:35:00 - Anthropic / Claude
3:34:50 - Dashboard refinements
3:54:00 - Library page
4:03:30 - Search page
4:12:30 - Usage page
4:16:26 - Settings
4:37:50 - Stripe payments
4:52:30 - Admin pages
5:10:00 - Responsiveness
5:17:50 - Deployment
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Music: Titan by Alex-Productions / alexproductionsmusic
License: Creative Commons — Attribution 3.0 Unported — CC BY 3.0
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#Nextjs #reactjs #SaaS #Fullstack #WebDevelopment #AI #TypeScript #CodingMasterclass