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
Bugster is a developer tool that builds the future of QA. The official website description includes e2e testing agents for devs, db branches for AI agents, session replay bug detection, and visual regression monitoring. It is suitable for engineering teams to integrate end-to-end testing, playback defect identification, visual regression, and database branch testing into the development process. However, the official website information is relatively streamlined, and specific integration and pricing need to be confirmed within the product. It provides a more complete QA entry than a single point script for teams that are repairing automated test coverage, monitoring production page changes, or wanting to spot defects from user playback.
Bugster provides test automation capabilities such as E2E testing agents, session replay bug detection, and visual regression monitoring for developers and QA teams.
The official website page is oriented to building the future of qa, and lists bugster e2e testing agents for devs, sow db branches for ai agents, flick session replay bug detection, and monitor visual regression for prod sites in the products.
Bugster is suitable for front-end, full-stack, and platform engineering teams, especially products that already have CI/CD, test environment, and user process playback requirements. It is more engineering infrastructure than a point-and-click testing tool for non-technical people.
The public information on the official website is relatively concise. The specific frameworks, browsers, CI, test data and execution quotas supported need to be entered into the product or contact the team for confirmation. Critical process lists and assertion rules are still maintained before automated testing goes live.
The official website lists e2e testing agents for devs, session playback bug detection and visual regression monitoring, and the core is QA automation.
Bugster not only mentions session replay, but also covers E2E testing agents, db branches for AI agents and visual regression monitoring of production sites.
Not very suitable. Page positioning targets devs and QA processes and usually requires access by the engineering team.
The supporting test framework, CI/CD, browser environment, data isolation and execution costs need to be confirmed to avoid testing and mismanipulation of production data.
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