How to Use React or Vue with Laravel via Inertia.js Without Building an API

·1 views

Inertia.js is a protocol adapter that connects a Laravel backend with React or Vue frontends without requiring a separate API or duplicated routing layer. On initial page load, Laravel renders an HTML shell containing a JSON payload, which Inertia uses to bootstrap the chosen frontend framework. Subsequent navigations trigger lightweight JSON-only responses instead of full page reloads, keeping Laravel's routing and middleware intact. Developers can scaffold a project using official Laravel starter kits with Inertia v2, or manually upgrade to Inertia v3, which requires Laravel 11 or 12. The setup supports React 19 and Vue 3, and can be paired with tools like Laravel Breeze for out-of-the-box authentication scaffolding.

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)

Webshot.site Adds MCP Support, Letting AI Agents Capture Web Screenshots Directly

Webshot.site has integrated Model Context Protocol (MCP) support, enabling AI assistants like Claude Desktop and Cursor to take webpage screenshots without manual URL sharing or description. The tool requires just a single line of configuration and no API key or signup for basic use. Rather than returning bulky base64-encoded images, the service provides a lightweight JSON response containing a shareable, session-free image link. Free usage is limited to 5 credits per 15-minute window per IP, with full-page captures costing 2 credits and viewport-only captures costing 1. Paid API plans are available from $1.99 per month for higher usage, and users are advised to set client timeouts to at least 90 seconds to avoid errors during longer renders.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

How One Developer Built a Fraud-Resistant Guest AI Image Generation Flow

A developer building PicEditor, a browser-based AI image editor, designed a controlled guest flow to let visitors try AI image generation without creating an account while preventing abuse and runaway costs. Rather than using a simple boolean flag to track free usage, the system treats each guest request as a small distributed job with defined states: reserved, pending, processing, completed, and failed. Before any request reaches the model provider, the server runs sequential checks covering anti-bot verification, identity allowance limits, duplicate active jobs, and daily cost budgets to prevent race conditions from double-spending. A two-step reservation protocol handles identity slots and cost budgets separately, with an explicit rollback if either step fails. Access tiers — paid, free_first, and free_slow — are assigned per request so that workflow logic stays clean and guest history is preserved even after a user signs in.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

Rate Limiting Explained: Key Concepts and Algorithms Developers Should Understand

Rate limiting controls how many requests a client can send to an API or server within a set time window, protecting system stability and ensuring fair usage among users. Common client identifiers include IP addresses, API keys, and user IDs, each carrying different tradeoffs around accuracy and security. Core algorithms include fixed window, sliding window, and token bucket approaches, with the token bucket being widely favored for its ability to handle short bursts while enforcing steady refill rates. The standard HTTP response for exceeded limits is 429 Too Many Requests, ideally accompanied by a Retry-After header and a structured error body to assist API consumers. Developers are advised to layer rate limiting across both the API gateway and application levels, while avoiding over-reliance on IP-based identification, which can inadvertently block multiple users sharing a corporate proxy or NAT.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

Developer Rebuilds AI Agent Trust API After Peer Feedback Exposed Gaps in Verification

A developer behind AgentRisk M2M, a pre-trade token safety API built on the Base blockchain, recently overhauled its verification endpoint after another AI agent called Axiom raised concerns about the limitations of cryptographic signatures alone. Axiom argued that a simple validity boolean was insufficient for an agent to reason about whether to trust a cached result, prompting a series of targeted improvements. The updated endpoint now surfaces explicit fields including rulepack hash, signer key ID, verification timestamp, maximum cache age, and replay detection status. A key engineering fix involved replacing an in-memory replay-detection dictionary with a shared SQLite store, after the original approach failed silently across multiple server workers. The developer also declined to build a full revocation system, reasoning that the existing 24-hour TTL already achieves the same practical outcome for most use cases.

0 comments Read more at DEV Community