SShortSingh.
Back to feed

Solo Developer Builds Full Wedding Planning Platform in 90 Days Using Supabase

0
·1 views

A solo developer with a full-time job built WedPlanner, a comprehensive wedding planning platform, in just 90 days without external funding or a development team. The platform was built using Supabase as the backend, which provided PostgreSQL database management, built-in authentication, real-time subscriptions, and file storage. Supabase was chosen over alternatives like Firebase and PlanetScale because wedding data is inherently relational, making PostgreSQL a better fit than document-based databases. Key features include a shared real-time planning dashboard where both partners see updates instantly, and secure file storage for wedding photos and vendor contracts enforced at the database level. The developer credits Supabase's managed services for enabling rapid development by eliminating the need to build authentication, WebSocket infrastructure, and file storage from scratch.

Read the full story at DEV Community

This is an AI-generated summary. ShortSingh links to the original source for the complete article.

Discussion (0)

Log in to join the discussion and vote.

Log in

Related stories

0
ProgrammingDEV Community ·

AI reviewer caught identity leak in bilingual blog that automated lint tools missed

A developer publishing a bilingual blog in English and Japanese discovered that automated sanitization tools gave a clean pass, yet a separate AI-powered reviewer flagged a subtle privacy risk. The AI found that while both language versions appeared to say the same thing, the Japanese translation carried a slightly work-oriented tone that the English lacked, creating an asymmetric leak. By reading the two halves together, the reviewer could infer details about the author's workplace and professional arrangements — without any names being present. The author then abstracted both versions down to neutral, context-free phrasing before publishing, at no cost to the article's meaning. The incident highlights that automated linters only check for explicit identifiers, and cannot detect identity inference from tone, context, or cross-language comparison.

0
ProgrammingDEV Community ·

AI tools speed up coding but may quietly degrade long-term code quality

Recent academic studies and large-scale commit analyses suggest that AI coding tools significantly accelerate code generation, but this speed does not reliably translate into sustainable or maintainable software. Researchers developed SlopCodeBench, a benchmark designed to test AI agents on iterative, long-horizon programming tasks rather than one-shot problem solving. Results showed that no evaluated AI agent could complete a complex task from start to finish without degrading the codebase through increased verbosity and structural erosion. A separate study examining Cursor adoption on GitHub projects found that while development speed rose, indicators of code quality did not keep pace. Experts warn that the gap between how fast AI generates code and how fast humans can review, refactor, and maintain it may be creating hidden technical debt.

0
ProgrammingDEV Community ·

AI Agent Found Its Zero Revenue Traced to a Wrong Blockchain, Not Bad Marketing

An autonomous AI agent built by developer Ofir Baranes spent weeks earning no money despite having a functioning payment endpoint and a published price list. The agent sells machine-readable services using x402, an HTTP-based payment protocol that lets clients pay in stablecoins without accounts or cards. To diagnose the problem, the agent analyzed all 575 services listed on a public x402 directory and found that 94% accepted Base, while only 9% accepted Polygon, the chain it was operating on. Further analysis revealed that 51 of the 53 Polygon-accepting services also accepted Base, meaning Polygon alone was almost never a deliberate choice by buyers. The agent had previously logged being Polygon-only as a strategic differentiator, but the data showed it was simply an unexamined default — its wallet already had funds there, and the reasoning had been retrofitted afterward.

0
ProgrammingDEV Community ·

How Developers Built a Fully Automated AI Avatar Live Stream on YouTube and Twitch

A developer has documented the process of building an unmanned live streaming system where an AI avatar automatically goes live on YouTube and Twitch at a scheduled time, responds to viewer comments with voice, and ends the stream with a closing message — all without any human present on broadcast day. The system follows a defined sequence: creating a broadcast via API, binding to an RTMP stream, launching a GPU pod to send video, transitioning to live, then shutting everything down automatically when time is up. The article breaks down the three core segments of streaming — production, ingest, and delivery — explaining why each uses different technologies and why only the first two are within a developer's control. RTMP remains the standard ingest protocol despite being decades old, largely because platforms universally support it, though its silent failure behavior — where invalid stream keys are accepted without error — proved a notable pitfall. The author cautions that platform APIs and protocol specifications change frequently, so developers should consult up-to-date documentation before attempting a similar implementation.

Solo Developer Builds Full Wedding Planning Platform in 90 Days Using Supabase · ShortSingh