Codex is stuck and not responding? Check by approval, terminal, and log check
If Codex is stuck and unresponsive, do not send the same message repeatedly. Confirm in order whethe
IMG2HTML is an AI programming tool that converts screenshots or design images into HTML, CSS, and JavaScript code. Users can upload web screenshots, interface sketches, or visuals to generate downloadable and copyable front-end code for quickly restoring static interfaces, prototyping, or turning reference drawings into development starting points. It offers a 3-day free trial with paid credits billed per number of images; The generated results are suitable for the first draft, and developers still need to check the responsiveness, semantic structure, accessibility, and business interaction before going live. It is particularly suitable for prototyping, interface proof learning, and quickly turning static designs into modifiable code, as well as for front-end teams to quickly assess the difficulty of visual resilience.
IMG2HTML Mainly for users who want to quickly get front-end code from images. It can convert uploaded screenshots, design drawings, or interface references into HTML, CSS, and JavaScript, making it suitable for static interface restoration, prototyping, inspiration reproduction, and front-end development drafts. Its value is to reduce the manual construction time from visual draft to base code, but the generated code still needs to be reviewed and organized by the developer.
After a user uploads an image, IMG2HTML generates a code structure that can be used on the page. It's suitable for handling landing pages, simple components, static interfaces, and visual reference diagrams, helping developers quickly get a modifiable starting point.
Although the name of the tool emphasizes HTML, the actual capabilities include HTML, CSS, and JavaScript transformations, making it suitable for scenarios where structure, style, and basic interaction scripts need to be obtained. Complex state management, data requests, and framework componentization still need to be implemented manually.
It offers a 3-day free trial with paid limits starting at the number of images. For users who only want to convert a small number of design drawings occasionally, they can try to judge the code quality first. Batch transfer should pay attention to the cost of quota.
IMG2HTML Is it suitable for people who don't know how to code at all?
It can be used to generate the first version page, but the official release still needs to be checked by someone who understands the front-end. It can turn images into code starting points and cannot handle business logic, deployment, security, and long-term maintenance for you.
Can the code it generates go live directly? **
It is not recommended to go live directly. Building code requires checking if the layout is responsive, the styling is redundant, the interactions are realistically usable, and whether they meet the project's performance and accessibility requirements.
Is it suitable for converting design drafts into components?
It is suitable as a reference starting point for component development. If the project has an off-the-shelf design system, developers also need to map the generated styles to existing components, variables, and layout rules.
Is there a copyright risk associated with uploading screenshots of web pages? **
There is a possibility. A safer way to use it is to handle your own design drafts, screenshots of your own products, or authorized reference drawings, and don't convert someone else's full page directly for commercial purposes.
Google Antigravity is an AI programming environment for the "agent-first" era, helping developers collaborate with multiple agents to complete the entire process from planning to coding, debugging and delivery. Google Antigravity embeds agents in IDEs, terminals, browsers, and other development tools, supporting task decomposition, automated execution, and traceable artifact records for easy review and reproducibility. With powerful reasoning and tool calling capabilities, Google Antigravity significantly improves code generation, test orchestration, script execution, and cross-project collaboration, making it suitable for individuals and teams to quickly build modern applications and services.
Kiro is an AI-powered integrated development environment (IDE) powered by AWS that creates a full-process experience from prototype to production for developers. It uses a spec-driven development model that automatically converts natural language prompts into detailed requirements, system designs, and specific tasks, and performs code generation, documentation maintenance, unit testing, and performance optimization through intelligent agents. Built-in agent hooks support event-driven automation (such as saving file triggers) and Steering files to give users custom control over AI behavior. Kiro natively integrates Model Context Protocol (MCP) to connect to multiple tools and services (e.g., databases, documents, APIs), and is compatible with VS Code plugins and settings, supporting multimodal inputs such as image indication UI or architectural logic. Currently in preview, the core features are open for free, and tiered subscriptions are available for professional users.
ZOER is an AI full-stack web app builder aimed at entrepreneurs, product managers, and no-code developers. Its value is not that it decides everything for the user at once, but that it provides actionable assistance around the idea of building front-end, back-end, and database applications: users can describe requirements, build full-stack applications, preview and deploy code, and then complete the follow-up process based on their own business judgment. When choosing such a tool, you need to pay attention to code quality, data security, and online testing, especially when it comes to accounts, customer profiles, contracts, courses, audio, video, or code output. Its visibility capabilities include AI web app generator, frontend, backend, and DB, making it more suitable for rapid application prototyping.
ZETIC.ai is an end-side AI deployment and NPU-optimized platform aimed at AI engineers, mobile development teams, and edge device teams. Its value is not that it does everything at once, but provides actionable assistance around deploying models to end-side devices and optimizing inference performance: users can convert models, test hardware, optimize NPUs, monitor performance, and then complete subsequent processing based on their own business judgments. When choosing such tools, you need to pay attention to device compatibility, model accuracy, and deployment validation, especially when it comes to accounts, customer profiles, contracts, courses, audio, video, or code output, all of which should be reviewed manually. Its visible capabilities include on-device AI, NPU optimization, and benchmark on devices, making it better suited for end-side AI engineering.
ZeroTrusted.ai is an AI zero-trust security and LLM firewall platform aimed at security teams, AI application teams, and enterprise IT managers. Its value is not to make all the work for users at once, but to provide actionable assistance around securing data, identity, and AI prompt interactions: users can configure LLM firewalls, anonymous prompts, monitor health status, and handle security incidents, and then complete follow-up processing based on their own business judgment. When choosing such tools, you need to be mindful of privacy data, policy misjudgments, and corporate compliance, especially when it comes to accounts, customer profiles, contracts, courses, audio, video, or code output. Its visibility capabilities include LLM firewall, data protection, prompt anonymization, and SOAR, making it more suitable for enterprise AI security governance.
ZeroThreat is an AI web application and API security testing platform aimed at security teams, development teams, and DevSecOps personnel. Its value lies in not making all the decisions for users at once, but rather providing actionable assistance around scanning web applications and APIs for vulnerabilities and assisting in automated penetration testing: users can configure targets, run scans, view vulnerabilities, generate remediation recommendations, and follow up with their business judgment. When choosing such a tool, you need to pay attention to the scope of authorization testing, false positives, false positives, and fix verification, especially when it comes to accounts, customer information, contracts, courses, audio, video, or code output. Its visibility capabilities include AI-powered scanning, automated pentesting, and web/API security, making it more suitable for authorized security testing.
If Codex is stuck and unresponsive, do not send the same message repeatedly. Confirm in order whethe
codex exec In CI, it can analyze code without making changes; first check the sandbox: non-interacti
If Codex Skills is installed but does not trigger, first check if it is located in the scan director
Codex config.toml changes that don't take effect usually don't mean the TOML file is corrupted, but
After exiting the Codex CLI, you don't need to redescribe the entire task; just run codex resume sel
On August 3, 2026, the Qwen team released the Qwen 3.8-Max on the official Qwen blog, positioning it