Developer builds Verve, a pure-Zig full-stack framework to rival Tauri and Wails

·5 views

A software engineer has spent six months building Verve, a full-stack framework written entirely in Zig, designed as a single-language alternative to multi-language tools like Tauri and Wails. The framework eliminates the need for Node.js toolchains, virtual DOM, and macros, compiling everything into a single optimized binary. Verve supports both web and native desktop applications, using server-side rendering by default and compiling interactive UI components to WebAssembly. For desktop use, it embeds each operating system's native webview — WKWebView on macOS, WebView2 on Windows, and WebKitGTK on Linux. The project was partly motivated by new async and I/O capabilities introduced in Zig 0.16.0, and documentation is available at verveframework.dev.

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)

DesignFoundationPro Offers 29 UI Blocks and 47 Screens to Speed Up SwiftUI App Builds

DesignFoundationPro is a commercial SwiftUI package that extends the open-source DesignFoundation library with 29 pre-built UI blocks, 47 screens, 18 navigation shells, and 9 runnable composition examples. It targets common app components such as authentication, onboarding, dashboards, and data tables, claiming to reduce code volume by roughly 87% compared to building from scratch. The package is designed to enforce visual consistency, particularly when AI coding agents generate multiple screens that might otherwise produce mismatched layouts or behaviors. Developers can preview all included components for free via DFPlayground, a macOS app with live theming support, before committing to a purchase. Licenses are priced at $149 for individuals and $449 for teams of up to five, with no subscription required and optional annual updates at $39 per year.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

Key Technical Vulnerabilities That Can Cripple DAOs in Real-World Deployment

Decentralized Autonomous Organizations face far more complex technical challenges in production than their simple governance premise suggests, according to a DEV Community analysis. Critical vulnerabilities include flash loan attacks that let bad actors temporarily borrow voting power to push through malicious proposals, which snapshot-based voting and proposal delays can help mitigate. The executor layer poses another major risk, as improperly validated proposal calldata can trigger unintended contract calls or treasury transfers, making timelocks and strict parameter separation essential safeguards. Governance parameters like voting periods and quorum thresholds must be bounded by hard limits to prevent a malicious majority from rapidly altering rules and ramming through harmful proposals. Static quorum systems are also flagged as inadequate, with experts recommending dynamic or proposal-specific quorum models to ensure decisions reflect genuine community consensus rather than low-participation manipulation.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

Developers Gain AI Coding Power but Lose Time to Context and Tool Management

Despite rapid advances in AI coding tools that can write features, debug code, and run tests, many developers report spending considerable time managing context loss, usage limits, and model selection. A recurring issue is that AI assistants often forget earlier decisions or project conventions once a chat session ends, forcing developers to re-explain the same information. Questions remain about how autonomous AI agents should be — whether they should complete full development loops independently or seek human approval at key steps. The debate also extends to whether developers should manually choose between competing AI models or let the environment select one based on task needs and budget. A developer-led survey is currently collecting real-world experiences to better understand what features and workflows practitioners actually need next.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

AI Governance Fails Without Compute Infrastructure, Experts Warn

Global AI governance frameworks focus heavily on ethics, safety, and policy alignment, but largely overlook the computing infrastructure needed to put those policies into practice. Most frameworks assume nations already have access to high-performance compute, reliable data pipelines, and skilled operators — an assumption that does not hold for the majority of the world. The real AI divide is not about access to AI models but about the infrastructure required to run, monitor, and maintain them safely. Initiatives that prioritize training and workshops without providing compute access are considered insufficient, as operational capability requires hardware, secure environments, and long-term maintenance funding. Experts argue that bridging the AI divide demands treating infrastructure — including regional compute hubs, sovereign capacity, and energy planning — as a core governance priority rather than an afterthought.

0 comments Read more at DEV Community