Apakah Agentic Coder Aman?
Agentic Coder — Nerq Trust Score 54.0/100 (Nilai D). Berdasarkan analisis 1 dimensi kepercayaan, dianggap memiliki masalah keamanan yang perlu diperhatikan. Terakhir diperbarui: 2026-04-23.
Gunakan Agentic Coder dengan hati-hati. Agentic Coder adalah software tool dengan Skor Kepercayaan Nerq sebesar 54.0/100 (D), based on 3 dimensi data independen. Di bawah ambang batas terverifikasi Nerq Data bersumber dari berbagai sumber publik termasuk registri paket, GitHub, NVD, OSV.dev, dan OpenSSF Scorecard. Terakhir diperbarui: 2026-04-23. Data yang dapat dibaca mesin (JSON).
Apakah Agentic Coder Aman?
CAUTION — Agentic Coder has a Nerq Trust Score of 54.0/100 (D). Memiliki sinyal kepercayaan sedang tetapi menunjukkan beberapa area perhatian that warrant attention. Suitable for development use — review keamanan and pemeliharaan signals before production deployment.
Berapa skor kepercayaan Agentic Coder?
Agentic Coder memiliki Skor Kepercayaan Nerq 54.0/100 dengan nilai D. Skor ini didasarkan pada 1 dimensi yang diukur secara independen.
Apa temuan keamanan utama untuk Agentic Coder?
Sinyal terkuat Agentic Coder adalah kepatuhan pada 100/100. Tidak ada kerentanan yang diketahui terdeteksi. Belum mencapai ambang verifikasi Nerq 70+.
Apa itu Agentic Coder dan siapa yang mengelolanya?
| Pembuat | unknown |
| Kategori | Uncategorized |
| Sumber | https://pypi.org/project/agentic-coder/ |
Kepatuhan Regulasi
| EU AI Act Risk Class | Not assessed |
| Compliance Score | 100/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
What Is Agentic Coder?
Agentic Coder is a software tool in the uncategorized category: AI-powered autonomous project creator and iterative developer. Nerq Trust Score: 54/100 (D).
Nerq independently analyzes every software tool, app, and extension across multiple trust signals including keamanan vulnerabilities, pemeliharaan activity, license kepatuhan, and adopsi komunitas.
How Nerq Assesses Agentic Coder's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensi. Here is how Agentic Coder performs in each:
- Compliance (100/100): Agentic Coder is broadly compliant. Assessed against regulations in 52 jurisdictions including the EU AI Act, CCPA, and GDPR.
The overall Trust Score of 54.0/100 (D) 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 Agentic Coder?
Agentic Coder is designed for:
- Developers and teams working with uncategorized tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
Risk guidance: Agentic Coder is suitable for development and testing environments. Before production deployment, conduct a thorough review of its keamanan posture, review the specific trust signals above, and consider whether a higher-scored alternative meets your requirements.
How to Verify Agentic Coder's Safety Yourself
While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:
- Check the source code — Tinjau repository keamanan policy, open issues, and recent commits for signs of active pemeliharaan.
- Scan dependencies — Use tools like
npm audit,pip-audit, orsnykto check for known vulnerabilities in Agentic Coder's dependency tree. - Ulasan permissions — Understand what access Agentic Coder requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Agentic Coder 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=agentic-coder - Tinjau license — Confirm that Agentic Coder'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 keamanan concerns openly. Low community engagement may indicate limited peer review of the codebase.
Common Safety Concerns with Agentic Coder
When evaluating whether Agentic Coder is safe, consider these category-specific risks:
Understand how Agentic Coder processes, stores, and transmits your data. Tinjau tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Agentic Coder's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher keamanan risk.
Regularly check for updates to Agentic Coder. Keamanan patches and bug fixes are only effective if you're running the latest version.
If Agentic Coder 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 Agentic Coder's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Agentic Coder in violation of its license can expose your organization to legal liability.
Best Practices for Using Agentic Coder Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Agentic Coder while minimizing risk:
Periodically review how Agentic Coder is used in your workflow. Check for unexpected behavior, permissions drift, and kepatuhan with your keamanan policies.
Ensure Agentic Coder and all its dependencies are running the latest stable versions to benefit from keamanan patches.
Grant Agentic Coder only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Agentic Coder's keamanan advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Agentic Coder is used within your organization, including data handling guidelines and acceptable use cases.
When Should You Avoid Agentic Coder?
Even promising tools aren't right for every situation. Consider avoiding Agentic Coder in these scenarios:
- Production environments handling sensitive customer data
- Regulated industries (healthcare, finance, government) without additional kepatuhan review
- Mission-critical systems where downtime has significant business impact
For each scenario, evaluate whether Agentic Coder's trust score of 54.0/100 meets your organization's risk tolerance. We recommend running a manual keamanan assessment alongside the automated Nerq score.
How Agentic Coder Compares to Industry Standards
Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among uncategorized tools, the average Trust Score is 62/100. Agentic Coder's score of 54.0/100 is near the category average of 62/100.
This places Agentic Coder in line with the typical uncategorized tool tool. It meets baseline expectations but does not distinguish itself from peers on trust metrics.
Industry benchmarks matter because they contextualize a tool's safety profile. A score that looks sedang 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 Agentic Coder 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 pemeliharaan patterns change, Agentic Coder'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 keamanan and quality. Conversely, a downward trend may signal reduced pemeliharaan, growing technical debt, or unresolved vulnerabilities. To track Agentic Coder's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=agentic-coder&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 — keamanan, pemeliharaan, dokumentasi, kepatuhan, and community — has evolved independently, providing granular visibility into which aspects of Agentic Coder are strengthening or weakening over time.
Kesimpulan Utama
- Agentic Coder has a Trust Score of 54.0/100 (D) and is not yet Nerq Verified.
- Agentic Coder shows sedang trust signals. Conduct thorough due diligence before deploying to production environments.
- Among uncategorized tools, Agentic Coder scores near the category average of 62/100, suggesting room for improvement relative to peers.
- Always verify safety independently — use Nerq's Preflight API for automated, up-to-date trust checks before integration.
Data apa yang dikumpulkan Agentic Coder?
Privasi assessment for Agentic Coder is not yet available. See our methodology for how Nerq measures privacy, or the public privacy review for any community-contributed notes.
Apakah Agentic Coder aman?
Keamanan score: sedang dinilai. Review keamanan practices and consider alternatives with higher keamanan scores for sensitive use cases.
Nerq memantau entitas ini terhadap NVD, OSV.dev, dan database kerentanan khusus registry untuk penilaian keamanan berkelanjutan.
Analisis lengkap: Laporan Keamanan Agentic Coder
Cara kami menghitung skor ini
Agentic Coder's trust score of 54.0/100 (D) dihitung dari berbagai sumber publik termasuk registri paket, GitHub, NVD, OSV.dev, dan OpenSSF Scorecard. Skor ini mencerminkan 0 dimensi independen: . Setiap dimensi diberi bobot yang sama untuk menghasilkan skor kepercayaan komposit.
Nerq menganalisis lebih dari 7,5 juta entitas di 26 registry menggunakan metodologi yang sama, memungkinkan perbandingan langsung antar entitas. Skor diperbarui secara berkelanjutan saat data baru tersedia.
Halaman ini terakhir ditinjau pada April 23, 2026. Versi data: 1.0.
Dokumentasi metodologi lengkap · Data yang dapat dibaca mesin (API JSON)
Pertanyaan yang Sering Diajukan
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Disclaimer: Skor kepercayaan Nerq adalah penilaian otomatis berdasarkan sinyal yang tersedia secara publik. Ini bukan rekomendasi atau jaminan. Selalu lakukan verifikasi mandiri Anda sendiri.