Безопасен ли Ai Coding Agent?
Ai Coding Agent — Nerq Trust Score 69.3/100 (Оценка C). На основе анализа 5 измерений доверия, считается в целом безопасным, но с некоторыми опасениями. Последнее обновление: 2026-04-01.
Используйте Ai Coding Agent с осторожностью. Ai Coding Agent is a software tool с рейтингом доверия Nerq 69.3/100 (C), based on 5 independent data dimensions. Ниже рекомендуемого порога в 70. Security: 0/100. Maintenance: 1/100. Popularity: 0/100. Data sourced from multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-04-01. Машинночитаемые данные (JSON).
Безопасен ли Ai Coding Agent?
ОСТОРОЖНО — Ai Coding Agent имеет рейтинг доверия Nerq 69.3/100 (C). Умеренные сигналы доверия, но есть отдельные области, требующие внимания. Подходит для разработки — проверьте сигналы безопасности и обслуживания перед развёртыванием в продакшене.
Каков рейтинг доверия Ai Coding Agent?
Ai Coding Agent имеет рейтинг доверия Nerq 69.3/100, earning a C grade. This score is based on 5 independently measured dimensions including security, maintenance, and community adoption.
Каковы основные выводы по безопасности Ai Coding Agent?
Ai Coding Agent's strongest signal is соответствие at 100/100. No known vulnerabilities have been detected. It has not yet reached the Nerq Verified threshold of 70+.
Что такое Ai Coding Agent и кто его поддерживает?
| Разработчик | aryxnsdfs |
| Категория | coding |
| Источник | https://github.com/aryxnsdfs/ai-coding-agent |
| Frameworks | anthropic |
| Protocols | rest |
Соответствие нормативам
| EU AI Act Risk Class | Not assessed |
| Compliance Score | 100/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
Популярные альтернативы в coding
What Is Ai Coding Agent?
Ai Coding Agent is a software tool in the coding category: An AI agent for assisting with coding tasks.. Nerq Trust Score: 69/100 (C).
Nerq independently analyzes every software tool, app, and extension across multiple trust signals including security vulnerabilities, maintenance activity, license compliance, and community adoption.
How Nerq Assesses Ai Coding Agent's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensions. Here is how Ai Coding Agent performs in each:
- Безопасность (0/100): Ai Coding Agent's security posture is poor. This score factors in known CVEs, dependency vulnerabilities, security policy presence, and code signing practices.
- Обслуживание (1/100): Ai Coding Agent is potentially abandoned. We track commit frequency, release cadence, issue response times, and PR merge rates.
- Documentation (1/100): Documentation quality is insufficient. This includes README completeness, API documentation, usage examples, and contribution guidelines.
- Compliance (100/100): Ai Coding Agent is broadly compliant. Assessed against regulations in 52 jurisdictions including the EU AI Act, CCPA, and GDPR.
- Community (0/100): Community adoption is limited. Based on GitHub stars, forks, download counts, and ecosystem integrations.
The overall Trust Score of 69.3/100 (C) reflects the weighted combination of these signals. This is below the Nerq Verified threshold of 70. We recommend additional due diligence before production deployment.
Who Should Use Ai Coding Agent?
Ai Coding Agent is designed for:
- Developers and teams working with coding tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
Risk guidance: Ai Coding Agent is suitable for development and testing environments. Before production deployment, conduct a thorough review of its security posture, review the specific trust signals above, and consider whether a higher-scored alternative meets your requirements.
How to Verify Ai Coding Agent's Safety Yourself
While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:
- Check the source code — Review the repository's security policy, open issues, and recent commits for signs of active maintenance.
- Scan dependencies — Use tools like
npm audit,pip-audit, orsnykto check for known vulnerabilities in Ai Coding Agent's dependency tree. - Отзыв permissions — Understand what access Ai Coding Agent requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Ai Coding Agent in a sandboxed environment before granting access to production data or systems.
- Monitor continuously — Use Nerq's API to set up automated trust checks:
GET nerq.ai/v1/preflight?target=ai-coding-agent - Проверьте license — Confirm that Ai Coding Agent's license is compatible with your intended use case. Pay attention to restrictions on commercial use, redistribution, and derivative works. Some AI tools use dual licensing or have separate terms for enterprise customers that differ from the open-source license.
- Check community signals — Look at the project's issue tracker, discussion forums, and social media presence. A healthy community actively reports bugs, contributes fixes, and discusses security concerns openly. Low community engagement may indicate limited peer review of the codebase.
Common Safety Concerns with Ai Coding Agent
When evaluating whether Ai Coding Agent is safe, consider these category-specific risks:
Understand how Ai Coding Agent processes, stores, and transmits your data. Review the tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Ai Coding Agent's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher security risk.
Regularly check for updates to Ai Coding Agent. Security patches and bug fixes are only effective if you're running the latest version.
If Ai Coding Agent connects to external APIs or services, each integration point is a potential attack surface. Audit all third-party connections, verify that data shared with external services is minimized, and ensure that integration credentials are rotated regularly.
Verify that Ai Coding Agent's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Ai Coding Agent in violation of its license can expose your organization to legal liability.
Best Practices for Using Ai Coding Agent Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Ai Coding Agent while minimizing risk:
Periodically review how Ai Coding Agent is used in your workflow. Check for unexpected behavior, permissions drift, and compliance with your security policies.
Ensure Ai Coding Agent and all its dependencies are running the latest stable versions to benefit from security patches.
Grant Ai Coding Agent only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Ai Coding Agent's security advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Ai Coding Agent is used within your organization, including data handling guidelines and acceptable use cases.
When Should You Avoid Ai Coding Agent?
Even promising tools aren't right for every situation. Consider avoiding Ai Coding Agent in these scenarios:
- Production environments handling sensitive customer data
- Regulated industries (healthcare, finance, government) without additional compliance review
- Mission-critical systems where downtime has significant business impact
For each scenario, evaluate whether Ai Coding Agent 69.3/100 meets your organization's risk tolerance. We recommend running a manual security assessment alongside the automated Nerq score.
How Ai Coding Agent Compares to Industry Standards
Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among coding tools, the average Trust Score is 62/100. Ai Coding Agent's score of 69.3/100 is above the category average of 62/100.
This positions Ai Coding Agent favorably among coding tools. While it outperforms the average, there is still room for improvement in certain trust dimensions.
Industry benchmarks matter because they contextualize a tool's safety profile. A score that looks moderate in isolation may actually represent strong performance within a challenging category — or vice versa. Nerq's category-relative analysis helps teams make informed decisions by showing not just absolute quality, but how a tool ranks against its direct peers.
Trust Score History
Nerq continuously monitors Ai Coding Agent and recalculates its Trust Score as new data becomes available. Our scoring engine ingests real-time signals from source repositories, vulnerability databases (NVD, OSV.dev), package registries, and community metrics. When a new CVE is published, a major release ships, or maintenance patterns change, Ai Coding Agent's score is updated within 24 hours.
Historical trust trends reveal whether a tool is improving, stable, or declining over time. A tool that consistently maintains or improves its score demonstrates ongoing commitment to security and quality. Conversely, a downward trend may signal reduced maintenance, growing technical debt, or unresolved vulnerabilities. To track Ai Coding Agent's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=ai-coding-agent&include=history
Nerq retains trust score snapshots at regular intervals, enabling trend analysis across weeks and months. Enterprise users can access detailed historical reports showing how each dimension — security, maintenance, documentation, compliance, and community — has evolved independently, providing granular visibility into which aspects of Ai Coding Agent are strengthening or weakening over time.
Ai Coding Agent vs Alternatives
В категории coding, Ai Coding Agent получает 69.3/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Ai Coding Agent vs AutoGPT — Trust Score: 74.7/100
- Ai Coding Agent vs ollama — Trust Score: 73.8/100
- Ai Coding Agent vs langchain — Trust Score: 86.4/100
Основные выводы
- Ai Coding Agent имеет рейтинг доверия 69.3/100 (C) and is not yet Nerq Verified.
- Ai Coding Agent shows moderate trust signals. Conduct thorough due diligence before deploying to production environments.
- Among coding tools, Ai Coding Agent scores above the category average of 62/100, demonstrating above-average reliability.
- Always verify safety independently — use Nerq's Preflight API for automated, up-to-date trust checks before integration.
Часто задаваемые вопросы
Безопасен ли Ai Coding Agent для использования?
Что такое Ai Coding Agent's trust score?
Какие более безопасные альтернативы Ai Coding Agent?
How often is Ai Coding Agent's safety score updated?
Можно ли использовать Ai Coding Agent в регулируемой среде?
Disclaimer: Рейтинги доверия Nerq — это автоматические оценки, основанные на публично доступных сигналах. Они не являются рекомендацией или гарантией. Всегда проводите собственную проверку.