SShortSingh.
Back to feed

Developer Built 33 Apps in One Month for Netlify's Hot AR Summer Challenge

0
·4 views

A developer in Los Angeles participated in Netlify's July 'Hot AR Summer' challenge, which invited builders to create small apps using the platform's Agent Runners tool. He initially dismissed the challenge as too time-consuming but ended up submitting 33 apps over the course of the month, out of more than 200 total entries. A defining constraint he set for himself was avoiding random number generation, making every app's output fully deterministic based on user input — meaning no AI inference was needed at runtime. This approach kept his total AI-related costs to just $44 for the entire month. His final app was built from his phone at a restaurant table between dinner courses, but missed the submission deadline after the entry window had already closed.

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 ·

How an LLM API Gateway in Node.js Can Tame Runaway AI Spending

Without a centralized LLM API gateway, engineering teams often hardcode API keys and retry logic across multiple services, making cost tracking and provider switching difficult. A gateway acts as a single chokepoint for all model requests, enabling centralized routing, rate limiting, and spend visibility. Enterprise model API spending has surpassed $8.4 billion and continues to grow, largely without centralized oversight. Three leading gateway options — LiteLLM, Portkey, and Cloudflare AI Gateway — each suit different team needs, from self-hosted control to prebuilt guardrails and edge-network integration. Developers are advised to implement a gateway from the start of a project, as retrofitting one later becomes significantly more complex once services have their own calling conventions in place.

0
ProgrammingDEV Community ·

Developer Pauses Project Building in Week 7 to Deepen Spring Framework Knowledge

A developer participating in the #100DaysOfCode challenge used Week 7 to step back from building new projects and focus on core Spring Framework concepts. Topics studied included Dependency Injection, Spring AOP, Spring Security, OAuth2, logging in Spring Boot, and the SOLID and Gang of Four design principles. The week also included CV updates, job applications for backend roles, and an AI-powered mock interview that highlighted areas for improvement in technical interviewing. With upcoming exams approaching, the developer shifted priorities toward strengthening conceptual understanding rather than shipping new features. The developer emphasized that grasping the theory behind a framework is just as valuable as writing code with it.

0
ProgrammingDEV Community ·

Cost dashboard flagged its own launch as 26.5x overspend, exposing a CodeBurn bug

A developer team's internal dashboard for tracking Claude Code token spend incorrectly flagged its own founding session as a 26.5x cost outlier. The alert was a category error: the tool compared the expensive initial build session — which consumed over one million tokens — against quieter maintenance sessions that followed, skewing the average. Rather than ignoring the false alarm, the team traced the issue to a function called detectSessionOutliers in CodeBurn's open-source codebase and filed bug report #664 with a proposed fix. The project's maintainer refined the patch, implementing a smarter exclusion that gives new projects the benefit of the doubt only until they accumulate six costed sessions, rather than granting a permanent exemption. The fix was merged within three days of the bug report being filed.

0
ProgrammingDEV Community ·

JLScript: New Programming Language Targets Beginners and Portuguese Speakers

JLScript is a new programming language currently under development, aimed at making coding more accessible to beginners and Portuguese-speaking developers. The language features a clear, readable syntax while supporting modern programming concepts such as variables, functions, loops, arrays, and API integration. Planned features include a package manager, cross-platform compiler, VS Code extension, object-oriented programming support, and JSON handling. The project is open to community feedback and contributions as development continues. Source code and documentation are available on GitHub and the official JLScript website.