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
AskCodi is an AI coding assistant with the official website titled AI Coding Assistant, Multi-Model Chat & Developer Tools. The description emphasizes that it can be used for multi-model AI chat, code generation, refactoring, custom agents, OpenAI-compatible API and IDE integrations. It provides developers with code generation, refactoring, testing, interpretation and automated development assistance, as well as trial and subscription plans. It is suitable for improving daily coding efficiency, but the generated code still requires review, testing and security verification.
AskCodi provides AI assistance to the entire software development process. It integrates multi-model chat, code generation, refactoring, testing and developer tools to help developers complete repetitive coding tasks faster.
AskCodi is suitable for generating function drafts, interpreting old code, refactoring snippets, writing unit tests, creating scripts, and providing context assistance in the IDE. Teams can also use it to build custom agents for their internal development processes.
Ideal for software engineers, students, technical teams, independent developers and those who need to accelerate prototype development. Beginners should understand the generated code when using it, rather than just copying and running it.
AI-generated code may have vulnerabilities, erroneous dependencies, performance issues, or may not meet project specifications. Tests, code reviews, and security scans should be run before merging, with particular caution when involving production systems.
This type of tool is best suited for verification with small samples before putting them into a stable process. Before using it, it is recommended to confirm the current functions, prices, account permissions, export methods and data processing rules of the official website; when it involves code, education, health, finance, news, commercial content or customer data, manual review should be retained to avoid taking AI output directly as the final conclusion.
The official website mentions IDE integrations, and the specific IDEs supported need to be confirmed according to the current document.
No. The official website also emphasizes refactoring and customizing agents, APIs and developer tools.
It is not recommended to go online directly. Must be tested, reviewed and safety-verified.
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
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