Developer Builds AI-Powered Learning Roadmap App Using Google Gemini

·3 views

A computer science student has developed Fervor, an AI-powered web application that generates personalized learning roadmaps based on a user's passion, experience level, and available study time. The app was created as a submission for DEV Community's Weekend Challenge and is built using HTML, CSS, vanilla JavaScript, and the Google Gemini API. Users input their goals and learning preferences, and Gemini produces a structured roadmap with progressive stages, actionable tasks, and daily motivational advice. The developer faced several technical hurdles during development, including API configuration errors, rate limiting, and JSON parsing issues, which provided hands-on experience with REST APIs and asynchronous JavaScript. Fervor is currently live on Vercel, with plans to add user accounts, backend integration, and more advanced AI coaching features.

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)

CTF Writeup: Reversing a Custom Polynomial Cipher Without Brute-Forcing Private Keys

A BronoCTF challenge called pscheme.py presented a custom encryption scheme that encoded messages as polynomial roots and shuffled their order using a compact bitfield. Participants were given only an enc.txt file containing a public key polynomial and ciphertext chunks, with no direct execution path to the original script. The solution involved reconstructing the monic public key polynomial, then performing exact integer polynomial long division on each ciphertext chunk to isolate degree-4 quotients. Brute-force root search over the ASCII range recovered the original byte values, while decoding the shuffle order field restored correct character positions. The flag was retrieved without factoring large private keys or any heavy computational attack.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

Browser tool shows embedding axes can shift without changing cosine neighbour structure

A developer built an interactive browser instrument to demonstrate that orthogonal transformations can visually alter embedding coordinates while leaving cosine similarities completely unchanged. The experiment used 384-dimensional phrase embeddings generated by MiniLM across 180 short phrases, with measured numerical drift staying below 2e-15. The tool lets users compare original and orthogonally transformed coordinate views, alongside PCA and grand-tour projections, highlighting that raw model axes hold no unique claim over neighbour geometry. The finding connects to broader debates in embedding interpretability, where individual axis meaning is not guaranteed by cosine structure alone. The work independently converged on established visualisation techniques, including Daniel Asimov's 1985 grand-tour method and related projects like Distill's neural-network activation explorer.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

Two Built-In Vim Commands to Comment Out an Entire File Instantly

Vim offers powerful built-in commands that allow developers to comment out an entire file quickly, without relying on third-party plugins. The technique is useful in common scenarios such as debugging, testing new implementations, or temporarily disabling code. Developer Folasayo Samuel Olayemi shared two methods covering this workflow in a tutorial published on DEV Community on July 12. The guide is aimed at developers working in web development, DevOps, and general programming who use Vim as their editor.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

Why Apps With 100K+ Monthly Users Need Distributed Systems to Survive

As applications scale beyond 100,000 monthly active users, a single-server architecture struggles to handle simultaneous workloads like uploads, notifications, and recommendations competing for the same resources. Distributed systems solve this by splitting responsibilities across independent, specialized services that can each scale or fail without affecting the others. Horizontal scalability allows engineers to add more instances of only the overloaded service, rather than upgrading an entire monolithic backend. The architecture also improves reliability, since multiple service instances run in parallel so that one server failure does not cause complete downtime. Large engineering teams additionally benefit because individual services can be updated and deployed in isolation, reducing the risk of a single change breaking the whole application.

0 comments Read more at DEV Community