Laravel Cloud $5 Plan vs $5 VPS: What the Real Bill Looks Like

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Laravel Cloud revamped its pricing in June 2026, introducing a $5/month Starter tier with scale-to-zero hibernation and spending caps designed to make low-traffic apps affordable. Unlike a flat-rate $5 VPS, the Starter plan is usage-metered, meaning the monthly fee is a floor rather than a fixed cost. Apps with continuous queue workers, frequent scheduled tasks, or persistent databases can accumulate charges around the clock, undermining the hibernation benefit. The $5 tier genuinely suits idle workloads like portfolio sites or infrequent demos, but production Laravel apps with Horizon, schedulers, and dedicated databases often face higher bills than a comparable VPS. The core takeaway is that usage-metered platforms excel for sporadic traffic but offer limited savings over flat-rate hosting for steady, always-on workloads.

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Developer Builds AI Career Guidance Platform Using Google Gemini for Students

A developer has created Supernova AI, an AI-powered career guidance platform, as a capstone project for the Google Cloud Gen AI Academy APAC 2026. The platform addresses the challenge of career confusion faced by students and professionals who have access to abundant information but lack personalized direction. Users input their educational background, skills, interests, and career goals, after which the system generates a tailored Career Report with a match score, recommended path, skill gaps, and a learning roadmap. Built using Google Gemini and an Express.js backend, the tool is designed to act as a decision-support system rather than a replacement for human judgment. The project was motivated by the creator's own experience growing up with limited exposure to diverse career options, particularly in underserved communities.

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ProgrammingDEV Community ·

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ProgrammingDEV Community ·

Why AI Agents Forget Everything — and How Developers Can Fix It

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ProgrammingDEV Community ·

Developer Open-Sources Harvest, a Self-Healing Web Scraper Powered by LLMs

A developer has released Harvest, an open-source web scraper designed to automatically repair itself when target websites change their HTML structure. The tool uses a large language model to detect broken selectors, generate replacements, and validate them against a schema — storing the full selector history locally for rollback. Harvest also implements semantic caching, storing extraction results by meaning rather than exact query text, which the developer reports reduces LLM token consumption by 50–70%. Additional features include structural DOM diffing to highlight page changes and a script generator that performs a one-time LLM analysis to produce reusable, zero-token scraping scripts. The project is available on GitHub and can be installed via pip, with support for Cloudflare bypass and an MCP server interface for integration with AI agents.

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