GoCodeo is an AI agent for building full-stack apps in minutes. It lets you build and deploy full-stack apps effortlessly, with one-click Vercel deployment and seamless Supabase integration. Built on cutting-edge AI models, GoCodeo ensures intelligent, high-quality code generation at every step.
Features:
BUILD: Prompt, Run & Deploy
AI automation framework for full project development and deployment Real-time code generation with a modular project structure Supports 25+ frontend and backend frameworks One-click deployment to hosting platforms and seamless Supabase integration Quick access: Ctrl+Shift+K (Windows) / Cmd+Shift+K (Mac)
ASK: AI-Powered Code Companion
Context-aware coding assistance AI-powered chat, code explanations, and documentation Smart CLI recommendations and debugging Quick access: Ctrl+Shift+L (Windows) / Cmd+Shift+L (Mac)
TEST: Smarter, Faster, and More Reliable Testing
AI-driven automated test generation within the IDE Debug smarter with AI-driven failure insights Customizable and reusable test cases
CODE: AI-Powered Autocompletion & Smart Editing
Real-time, context-aware code suggestions Syntax-aware autocompletion and project-specific accuracy checks One-click "Apply Suggestions" and "Refactor Code"
INTEGRATIONS:
Supabase Integration – AI-Powered Backend Setup
Automates backend setup and project integration End-to-end setup for SQL queries, authentication, and real-time data persistence
Vercel Deployment – Instant Full-Stack Hosting
One-click deployment with optimized production hosting Seamless CI/CD integration
Git Integration – AI-Driven PR Automation
Automated PR creation and hands-free Git operations Instant PR link generation
WebSearch – AI-Powered Web Querying
AI-driven real-time web search within the IDE Context-aware results for API references and best practices
Auto-Generated Documentation
Instantly generates structured documentation, README files, and PRDs Auto-saves documentation in the root directory
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Based on our record, AI Helper Bot seems to be more popular. It has been mentiond 16 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
One thing that keeps coming up is that SQL equals low productivity. I don't think this is true. I think the culprit is that most developers are using to heavily abstracting SQL using ORMs like Prisma that hides the database and SQL logic. Since building a SQL generator (https://aihelperbot.com) as a side project, I have become much more proficient in SQL and even though I am also locked into Prisma, I use the... - Source: Hacker News / over 1 year ago
A few things I have learned over the years and in particular launching and growing my latest project[1]: 1) Track everything including errors. Know what users are using and what they aren't. Remove or rebuild less used features. 2) Find out who your users are and what they value. Ignore non-payers. 3) Economize, market, and document features. You not only need to develop and deploy features, but also to price them... - Source: Hacker News / over 1 year ago
It started with me working on a hobby project, aihelperbot.com which enables users to generate SQL using AI. It was build using the comprehensive Prisma ORM. I always found Prisma bloated and it requires almost constantly that you lookup their API for even trivial usage. Source: almost 2 years ago
Sounds like a combination of an unpolished product with insufficient demand and wrong business model. Users today don't want to pay XXX up front for a complicated product, they want a free tier where they incrementally learn about features. I just looked up what I spend on Google Ads for a small campaign on SQL/AI related keywords for https://aihelperbot.com: - $699.95 (part of a spend $400 to get $400 deal) -... - Source: Hacker News / almost 2 years ago
Neat setup. Regarding the deploy script. I have just setup a separate VPS for proxying database queries using various Node database drivers for my own project[1] and only used Github Actions managing it[2]: - add build script using Github Action that fails the entire build pipeline if code doesn't build - add deploy script (essentially a few commands ssh into your VPS and pulling, install, building and restarting)... - Source: Hacker News / almost 2 years ago
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