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
aiXcoder
AI programming toolsaiXcoder is an intelligent software development tool launched by Sixin Technology, relying on deep learning and large-scale code training, providing functions such as natural language to method-level code generation, token-level and row-level intelligent completion, and cross-file intelligent search. It supports Java, Python, C++, JavaScript, Go and other languages, and is compatible with VS Code, IntelliJ IDEA, PyCharm, Android Studio and other mainstream IDEs, and can complete code snippet generation, unit testing, and automatic comment addition without leaving the editor. Privatization ensures enterprise code security and helps teams significantly improve development efficiency and code quality.
1. Core features:
- Provides common intelligent coding capabilities such as natural language to method-level code generation, token-level and line-level completion, etc.
- Supports intelligent search across files, making it easy to locate context and reuse existing logic in larger projects.
- Supports multiple languages such as Java, Python, C++, JavaScript, Go, etc., and is compatible with many mainstream IDEs.
- Provide privatized deployment solutions, which are more suitable for enterprise teams that value source code security and intranet R&D environments.
2. Usage scenarios
- Used for daily coding completion, function implementation, and boilerplate code generation.
- Used to understand project structure across files and quickly locate code relationships.
- Used to generate unit tests, comments, and assist in refining development documentation.
- Used by enterprises to implement AI programming efficiency enhancement tools in private environments.
3. Suitable for the crowd
- Individual developers and teams in need of multilingual coding support.
- Engineers working on medium to large projects that require cross-file search capabilities.
- Enterprises with requirements for code security and privatization deployments.
- R&D users who want to reduce duplicate coding and documentation supplementation.
4. FAQs
What type of development tasks is aiXcoder best suited for?
aiXcoder is best suited for code completion, method implementation, search understanding, and daily R&D efficiency improvement tasks.
Why is aiXcoder suitable for businesses?
Because it supports privatization deployment, it can better protect enterprise code and R&D environment security.
What languages and IDEs does aiXcoder support?
It supports a wide range of mainstream programming languages and is compatible with common development environments such as VS Code, IntelliJ IDEA, and PyCharm.
What is the value of aiXcoder's cross-file search?
It helps developers understand the context of the project and reduces missing information when only looking at a single file.
What is the difference between aiXcoder and normal completion plugins?
It goes beyond just completion and emphasizes natural language generation, cross-file understanding, and enterprise deployment capabilities.
Similar Tools
Google Antigravity
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
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
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
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
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
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.
Latest Articles
Does codex exec not modify files in CI? Read-only is the default key
codex exec In CI, it can analyze code without making changes; first check the sandbox: non-interacti
Does Codex Skills not trigger after installation? Check the table of contents and descriptions
If Codex Skills is installed but does not trigger, first check if it is located in the scan director
Does Codex config.toml not work after being changed? Troubleshooting by configuration priority
Codex config.toml changes that don't take effect usually don't mean the TOML file is corrupted, but
How does Codex CLI continue the previous session? Use resume to retrieve the context
After exiting the Codex CLI, you don't need to redescribe the entire task; just run codex resume sel
Qwen 3.8-Max released: 2.4 trillion parameters, open weight next week
On August 3, 2026, the Qwen team released the Qwen 3.8-Max on the official Qwen blog, positioning it