How a Solo Dev Deployed a Real-Time Multiplayer Game on Railway for $6/Month

·1 views

A developer built Old Light, a browser-based real-time strategy game requiring persistent WebSocket connections, and chose Railway as its hosting platform because it runs long-lived processes rather than serverless functions. The game's codebase is structured as an npm monorepo with two separate Railway services — an Express/socket.io API and a Vite frontend — sharing a single repository. A key deployment challenge was preventing the frontend from going live before the backend, which the developer solved by syncing build IDs via a health-check endpoint that returns 503 until both services match. Additional hurdles included ensuring correct build order for shared packages, copying non-TypeScript assets manually, and configuring proxy trust settings behind Railway's TLS edge. The entire setup runs at roughly six dollars a month, which the developer describes as the least complicated host used for a stateful, real-time application.

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)

How gRPC Works Internally and Why It Outperforms Traditional RPC Methods

gRPC is a modern Remote Procedure Call framework developed by Google, designed to make service-to-service communication faster and more efficient than older approaches like CORBA or SOAP. At its core, gRPC relies on Protocol Buffers, a binary serialization format that produces smaller payloads and faster encoding compared to text-based formats like JSON or XML. Developers define service contracts in a .proto file, which specifies methods, request types, and response types, serving as a shared blueprint across services. The framework supports multiple programming languages including Go, Java, Python, C++, and Node.js, making it broadly accessible for polyglot microservice architectures. Its combination of compact data encoding, schema-driven contracts, and HTTP/2 transport makes gRPC a high-performance choice for inter-service communication.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

Developer Builds AI Reverse Hiring Platform Where Companies Pitch Candidates Anonymously

A developer has built a reverse hiring platform that flips the traditional recruitment model by requiring employers to seek out candidates rather than the other way around. Built with Next.js 15, Supabase, OpenAI GPT-4o-mini, and hosted on Vercel, the platform lets candidates upload resumes that AI parses into anonymous profiles, hiding real identities behind codes like 'JN-2847'. Employers browse the talent pool, receive AI-generated match scores based on cosine similarity of text embeddings, and must disclose salary upfront before sending any interview request. A candidate's true identity is only revealed if they choose to accept the employer's request. The project addresses what the developer describes as a broken hiring system where candidates face automated rejections and companies spend roughly €25,000 per hire on recruiting agencies.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

Tool Lets Developers Detect Regex Denial-of-Service Vulnerabilities Before Deployment

A developer has released ReDoScan, a free web checker and REST API designed to identify regular expressions vulnerable to catastrophic backtracking before they reach production. Catastrophic backtracking, classified as CWE-1333 or ReDoS, occurs when certain regex patterns create an exponentially growing search space on crafted non-matching inputs, pinning CPU usage at 100%. The vulnerability affects all major backtracking-based runtime engines, including Node.js, Python, Java, and Ruby. Common triggers include nested quantifiers, overlapping alternation, and prefix overlap — patterns that frequently appear in real-world validators. The tool offers static analysis with a five-level risk rating and integrates with CI/CD pipelines via a RapidAPI-hosted endpoint, with a free tier allowing 1,500 scans per month.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

Why AI Agents Struggle to Complete Long Workflows Without Human Help

Despite major advances in AI models and infrastructure over the past three years, very few AI applications can autonomously run complete business workflows without human oversight. The core problem, according to builders of the Mano-AFK autonomous app platform, is not executing individual actions but sustaining a reliable decision loop across dozens or hundreds of steps. Agents frequently fail by making an error, failing to detect it, and then compounding it over subsequent steps — a pattern the team addressed by adding a separate adversarial reviewer agent to catch misaligned decisions in real time. Another key finding was that giving agents access to external memory via bash tools boosted task success rates from 56% to 90%, as models tend to lose focus on early constraints after 20–30 steps even within a sufficient context window. These insights suggest that robust AI agents require not just better models, but smarter loop management, error verification, and persistent state tracking.

0 comments Read more at DEV Community