Is Ai Code Assistant Safe?

Ai Code Assistant — Nerq Trust Score 40.7/100 (E grade). Based on analysis of 3 trust dimensions, it is has notable safety concerns. Last updated: 2026-04-01.

Exercise caution with Ai Code Assistant. Ai Code Assistant is a software tool with a Nerq Trust Score of 40.7/100 (E), based on 3 independent data dimensions. It is below the recommended threshold of 70. Maintenance: 0/100. Popularity: 0/100. Data sourced from multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-04-01. Machine-readable data (JSON).

Is Ai Code Assistant safe?

NO — USE WITH CAUTION — Ai Code Assistant has a Nerq Trust Score of 40.7/100 (E). It has below-average trust signals with significant gaps in security, maintenance, or documentation. Not recommended for production use without thorough manual review and additional security measures.

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What is Ai Code Assistant's trust score?

Ai Code Assistant has a Nerq Trust Score of 40.7/100, earning a E grade. This score is based on 3 independently measured dimensions including security, maintenance, and community adoption.

Maintenance
0
Documentation
0
Popularity
0

What are the key security findings for Ai Code Assistant?

Ai Code Assistant's strongest signal is maintenance at 0/100. No known vulnerabilities have been detected. It has not yet reached the Nerq Verified threshold of 70+.

Maintenance: 0/100 — low maintenance activity
Documentation: 0/100 — limited documentation
Popularity: 0/100 — community adoption

What is Ai Code Assistant and who maintains it?

Author0x0be88a82ea666839f407c5d794a927dadf43bfb0
Categorycoding
Sourcehttps://8004scan.io/agents/ai-code-assistant

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What Is Ai Code Assistant?

Ai Code Assistant is a software tool in the coding category: AI Code Assistant writes clean Python and JavaScript code, debugs issues, and builds web applications.. Nerq Trust Score: 41/100 (E).

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 Code Assistant's Safety

Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensions. Here is how Ai Code Assistant performs in each:

The overall Trust Score of 40.7/100 (E) 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 Code Assistant?

Ai Code Assistant is designed for:

Risk guidance: We recommend caution with Ai Code Assistant. The low trust score suggests potential risks in security, maintenance, or community support. Consider using a more established alternative for any production or sensitive workload.

How to Verify Ai Code Assistant's Safety Yourself

While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:

  1. Check the source code — Review the repository security policy, open issues, and recent commits for signs of active maintenance.
  2. Scan dependencies — Use tools like npm audit, pip-audit, or snyk to check for known vulnerabilities in Ai Code Assistant's dependency tree.
  3. Review permissions — Understand what access Ai Code Assistant requires. Software tools should follow the principle of least privilege.
  4. Test in isolation — Run Ai Code Assistant in a sandboxed environment before granting access to production data or systems.
  5. Monitor continuously — Use Nerq's API to set up automated trust checks: GET nerq.ai/v1/preflight?target=AI Code Assistant
  6. Review the license — Confirm that Ai Code Assistant'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.
  7. 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 Code Assistant

When evaluating whether Ai Code Assistant is safe, consider these category-specific risks:

Data handling

Understand how Ai Code Assistant processes, stores, and transmits your data. Review the tool's privacy policy and data retention practices, especially for sensitive or proprietary information.

Dependency security

Check Ai Code Assistant's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher security risk.

Update frequency

Regularly check for updates to Ai Code Assistant. Security patches and bug fixes are only effective if you're running the latest version.

Third-party integrations

If Ai Code Assistant 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.

License and IP compliance

Verify that Ai Code Assistant'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 Code Assistant in violation of its license can expose your organization to legal liability.

Best Practices for Using Ai Code Assistant Safely

Whether you're an individual developer or an enterprise team, these practices will help you get the most from Ai Code Assistant while minimizing risk:

Conduct regular audits

Periodically review how Ai Code Assistant is used in your workflow. Check for unexpected behavior, permissions drift, and compliance with your security policies.

Keep dependencies updated

Ensure Ai Code Assistant and all its dependencies are running the latest stable versions to benefit from security patches.

Follow least privilege

Grant Ai Code Assistant only the minimum permissions it needs to function. Avoid granting admin or root access.

Monitor for security advisories

Subscribe to Ai Code Assistant's security advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.

Document usage policies

Create and maintain a clear policy for how Ai Code Assistant is used within your organization, including data handling guidelines and acceptable use cases.

When Should You Avoid Ai Code Assistant?

Even promising tools aren't right for every situation. Consider avoiding Ai Code Assistant in these scenarios:

For each scenario, evaluate whether Ai Code Assistant's trust score of 40.7/100 meets your organization's risk tolerance. We recommend running a manual security assessment alongside the automated Nerq score.

How Ai Code Assistant 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 Code Assistant's score of 40.7/100 is below the category average of 62/100.

This suggests that Ai Code Assistant trails behind many comparable coding tools. Organizations with strict security requirements should evaluate whether higher-scoring alternatives better meet their needs.

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 Code Assistant 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 Code Assistant'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 Code Assistant's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=AI Code Assistant&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 Code Assistant are strengthening or weakening over time.

Ai Code Assistant vs Alternatives

In the coding category, Ai Code Assistant scores 40.7/100. There are higher-scoring alternatives available. For a detailed comparison, see:

Key Takeaways

Frequently Asked Questions

Is Ai Code Assistant safe to use?
Exercise caution. AI Code Assistant has a Nerq Trust Score of 40.7/100 (E). Strongest signal: maintenance (0/100). Score based on maintenance (0/100), popularity (0/100), documentation (0/100).
What is Ai Code Assistant's trust score?
AI Code Assistant: 40.7/100 (E). Score based on: maintenance (0/100), popularity (0/100), documentation (0/100). Scores update as new data becomes available. API: GET nerq.ai/v1/preflight?target=AI Code Assistant
What are safer alternatives to Ai Code Assistant?
In the coding category, higher-rated alternatives include Significant-Gravitas/AutoGPT (75/100), ollama/ollama (74/100), langchain-ai/langchain (86/100). AI Code Assistant scores 40.7/100.
How often is Ai Code Assistant's safety score updated?
Nerq continuously monitors Ai Code Assistant and updates its trust score as new data becomes available. Data sourced from multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Current: 40.7/100 (E), last verified 2026-04-01. API: GET nerq.ai/v1/preflight?target=AI Code Assistant
Can I use Ai Code Assistant in a regulated environment?
Ai Code Assistant has not reached the Nerq Verified threshold of 70. Additional due diligence is recommended for regulated environments.
API: /v1/preflight Trust Badge API Docs

Disclaimer: Nerq trust scores are automated assessments based on publicly available signals. They are not endorsements or guarantees. Always conduct your own due diligence.

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