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
Atoms is an AI application building platform for entrepreneurs, independent developers and small teams. The official website is positioned to use AI employees to help you verify ideas, build products and acquire customers without having to write code from scratch. It organizes roles such as Iris, Bob, Emma, Alex, David, and Sarah into a multi-agent AI team to advance projects around requirements research, system blueprints, product planning, construction, testing, and marketing. The official website price page shows that the Free plan has 25 credits per month, which is suitable for lightweight trials; more complex SaaS, e-commerce, internal tools or personal projects require evaluation of paid plans such as Pro and Max.
Atoms is a platform that distributes product construction to multi-agent AI teams for execution. The official website emphasizes that users can launch projects such as SaaS, E-commerce, Internal Tools, and Personal Projects through chats and templates, and allows different AI roles to participate in research, planning, architecture, construction, testing and marketing, making it more suitable for people who want to quickly verify product ideas.
The core of Atoms is not to generate a single piece of code, but to advance it around the complete product. The official website mentions that AI teams can handle research, planning, building, testing and marketing, which is suitable for turning vague requirements into experiential websites or application prototypes.
The page displays roles such as Deep Researcher, Architect, and Product, and also provides SaaS, e-commerce, and internal tool templates. Users can remix from the template, or they can ask AI roles to supplement structures and pages as needed.
Atoms is suitable for accelerating prototype and early product construction, but it does not mean that the results can directly carry all production requirements. Payments, rights, security, performance and data models still require manual review. The official website price page shows that there is a limit on the amount of free credits, and complex projects require planning costs and subsequent maintenance.
Are Atoms suitable for people who can't write code at all?
It is suitable for early prototyping and simple applications because the official website emphasizes no code needed and built through the AI team. But if you want to launch complex businesses, you still need someone to understand product logic, data permissions and delivery quality.
How is it different from a normal code generator?
Ordinary code generators mostly focus on single code fragments, while Atoms emphasizes multi-agent role collaboration, integrating research, architecture, and marketing into the product construction process.
Can the free plan do official projects?
The free plan is suitable for trials and lightweight builds, and the official website price page says 25 credits per month. Formal products usually consume more credits and also require manual testing and deployment review.
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.
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