# Dev.to in the Machine Relations Index

Canonical URL: https://machinerelations.ai/index/domains/dev.to
Canonical domain: dev.to
Source role: Community and social platform
Release mri_score_v2.0+2026-09-18+8fa38e54dd0a; methodology mri_score_v2.0; generated 2026-09-18; window 2026-05-10 to 2026-09-18; artifact 8fa38e54dd0a.

dev.to appeared as a cited source in 209 of 15,782 monitored answer runs (1.32%) from 2026-05-10 to 2026-09-18.

## Overall Evidence

- Citation rate: 1.32%
- Cited runs: 209 of 15,782
- Days cited: 56 of 125
- Engine breadth: 6 observed engines (chatgpt, claude, gemini, google_ai_mode, google_ai_overviews, perplexity)
- Confidence: Confidence B
- Standing: #22 of 22,179 observed domains

## Observed Segments

| Category | Question shape | State | Cited runs | Observed runs | Run dates | Rate | Confidence | Standing |
|---|---|---|---:|---:|---:|---:|---|---|
| [AI Infrastructure](https://machinerelations.ai/index/categories/ai-infrastructure) | [Best tools](https://machinerelations.ai/index/categories/ai-infrastructure/best_x) | published | 5 | 77 | 7 | 6.49% | Unavailable | #35 of 204 |
| [AI Infrastructure](https://machinerelations.ai/index/categories/ai-infrastructure) | [How buyers choose](https://machinerelations.ai/index/categories/ai-infrastructure/how_choose) | published | 15 | 106 | 7 | 14.15% | Unavailable | #8 of 258 |
| [AI Infrastructure](https://machinerelations.ai/index/categories/ai-infrastructure) | [Is it worth it](https://machinerelations.ai/index/categories/ai-infrastructure/is_x_worth) | published | 12 | 106 | 7 | 11.32% | Unavailable | #11 of 265 |
| [AI Infrastructure](https://machinerelations.ai/index/categories/ai-infrastructure) | [Problem-first research](https://machinerelations.ai/index/categories/ai-infrastructure/problem_first) | published | 15 | 106 | 7 | 14.15% | Unavailable | #5 of 212 |
| [AI Infrastructure](https://machinerelations.ai/index/categories/ai-infrastructure) | [Top lists](https://machinerelations.ai/index/categories/ai-infrastructure/top_list) | published | 5 | 108 | 7 | 4.63% | Unavailable | #45 of 270 |
| [AI Infrastructure](https://machinerelations.ai/index/categories/ai-infrastructure) | [Comparisons](https://machinerelations.ai/index/categories/ai-infrastructure/x_vs_y) | published | 12 | 108 | 7 | 11.11% | Unavailable | #11 of 231 |
| [AI Security & Privacy](https://machinerelations.ai/index/categories/ai-security-privacy) | [Best tools](https://machinerelations.ai/index/categories/ai-security-privacy/best_x) | published | 22 | 136 | 7 | 16.18% | Unavailable | #8 of 275 |
| [AI Security & Privacy](https://machinerelations.ai/index/categories/ai-security-privacy) | [How buyers choose](https://machinerelations.ai/index/categories/ai-security-privacy/how_choose) | published | 4 | 130 | 7 | 3.08% | Unavailable | #53 of 305 |
| [AI Security & Privacy](https://machinerelations.ai/index/categories/ai-security-privacy) | [Is it worth it](https://machinerelations.ai/index/categories/ai-security-privacy/is_x_worth) | published | 7 | 130 | 7 | 5.38% | Unavailable | #27 of 330 |
| [AI Security & Privacy](https://machinerelations.ai/index/categories/ai-security-privacy) | [Problem-first research](https://machinerelations.ai/index/categories/ai-security-privacy/problem_first) | published | 7 | 106 | 7 | 6.60% | Unavailable | #18 of 272 |
| [AI Security & Privacy](https://machinerelations.ai/index/categories/ai-security-privacy) | [Top lists](https://machinerelations.ai/index/categories/ai-security-privacy/top_list) | published | 5 | 106 | 7 | 4.72% | Unavailable | #50 of 313 |
| [AI Security & Privacy](https://machinerelations.ai/index/categories/ai-security-privacy) | [Comparisons](https://machinerelations.ai/index/categories/ai-security-privacy/x_vs_y) | published | 12 | 114 | 7 | 10.53% | Unavailable | #11 of 263 |
| [AI Visibility & GEO](https://machinerelations.ai/index/categories/ai-visibility-geo) | [How buyers choose](https://machinerelations.ai/index/categories/ai-visibility-geo/how_choose) | published | 6 | 113 | 7 | 5.31% | Unavailable | #29 of 448 |
| [AI Visibility & GEO](https://machinerelations.ai/index/categories/ai-visibility-geo) | [Problem-first research](https://machinerelations.ai/index/categories/ai-visibility-geo/problem_first) | published | 5 | 132 | 7 | 3.79% | Unavailable | #24 of 420 |
| [AI Visibility & GEO](https://machinerelations.ai/index/categories/ai-visibility-geo) | [Top lists](https://machinerelations.ai/index/categories/ai-visibility-geo/top_list) | published | 1 | 71 | 7 | 1.41% | Unavailable | #208 of 412 |
| [Cybersecurity](https://machinerelations.ai/index/categories/cybersecurity) | [How buyers choose](https://machinerelations.ai/index/categories/cybersecurity/how_choose) | published | 3 | 131 | 7 | 2.29% | Unavailable | #74 of 325 |
| [Cybersecurity](https://machinerelations.ai/index/categories/cybersecurity) | [News-driven citations](https://machinerelations.ai/index/categories/cybersecurity/news_topic) | published | 1 | 623 | 54 | 0.16% | Unavailable | #784 of 1,340 |
| [Cybersecurity](https://machinerelations.ai/index/categories/cybersecurity) | [Problem-first research](https://machinerelations.ai/index/categories/cybersecurity/problem_first) | published | 2 | 125 | 7 | 1.60% | Unavailable | #98 of 263 |
| [Deep Tech & Hardware](https://machinerelations.ai/index/categories/deep-tech-hardware) | [How buyers choose](https://machinerelations.ai/index/categories/deep-tech-hardware/how_choose) | published | 1 | 130 | 7 | 0.77% | Unavailable | #124 of 195 |
| [Deep Tech & Hardware](https://machinerelations.ai/index/categories/deep-tech-hardware) | [Comparisons](https://machinerelations.ai/index/categories/deep-tech-hardware/x_vs_y) | published | 6 | 105 | 7 | 5.71% | Unavailable | #28 of 171 |
| [Education & Training](https://machinerelations.ai/index/categories/education-training) | [Is it worth it](https://machinerelations.ai/index/categories/education-training/is_x_worth) | published | 5 | 100 | 7 | 5.00% | Unavailable | #33 of 201 |
| [Education & Training](https://machinerelations.ai/index/categories/education-training) | [Top lists](https://machinerelations.ai/index/categories/education-training/top_list) | published | 1 | 100 | 7 | 1.00% | Unavailable | #182 of 295 |
| [Enterprise Software](https://machinerelations.ai/index/categories/enterprise-software) | [News-driven citations](https://machinerelations.ai/index/categories/enterprise-software/news_topic) | published | 3 | 596 | 53 | 0.50% | Unavailable | #331 of 1,375 |
| [Enterprise Software](https://machinerelations.ai/index/categories/enterprise-software) | [Problem-first research](https://machinerelations.ai/index/categories/enterprise-software/problem_first) | published | 1 | 106 | 7 | 0.94% | Unavailable | #147 of 258 |
| [Fintech](https://machinerelations.ai/index/categories/fintech) | [Best tools](https://machinerelations.ai/index/categories/fintech/best_x) | published | 3 | 108 | 7 | 2.78% | Unavailable | #62 of 224 |
| [Fintech](https://machinerelations.ai/index/categories/fintech) | [How buyers choose](https://machinerelations.ai/index/categories/fintech/how_choose) | published | 3 | 102 | 7 | 2.94% | Unavailable | #48 of 170 |
| [HR & Talent](https://machinerelations.ai/index/categories/hr-talent) | [Problem-first research](https://machinerelations.ai/index/categories/hr-talent/problem_first) | collecting | 2 | 65 | 4 | Unavailable | Unavailable | Collecting observations; no mature rank |
| [iGaming & Betting](https://machinerelations.ai/index/categories/igaming-betting) | [Top lists](https://machinerelations.ai/index/categories/igaming-betting/top_list) | collecting | 1 | 29 | 1 | Unavailable | Unavailable | Collecting observations; no mature rank |
| [Legacy News Topics](https://machinerelations.ai/index/categories/legacy-unmapped) | [News-driven citations](https://machinerelations.ai/index/categories/legacy-unmapped/news_topic) | published | 44 | 2,138 | 54 | 2.06% | Unavailable | #40 of 4,025 |

## Citation

Dev.to (dev.to), 1.32% citation rate, 209 of 15,782 monitored answer runs, 2026-05-10 to 2026-09-18, mri_score_v2.0, mri_score_v2.0+2026-09-18+8fa38e54dd0a, https://machinerelations.ai/index/domains/dev.to.

## Public Boundary

The public dataset reports citation rates, rankings, and evidence counts. It excludes internal query identifiers, raw cited URLs, and answer-engine provider payloads. MRI measures observed root-domain citations in monitored prompts; it does not measure all AI answers, recommendation quality, website traffic, or commercial performance. A citation does not prove source support, and MRI confidence is not an Answer-Source Fidelity grade.

## Related Sources

- [Machine Relations Index](https://machinerelations.ai/index)
- [Public JSON artifact](https://machinerelations.ai/data/machine-relations-index.json)
- [Release manifest](https://machinerelations.ai/data/mri-release-manifest.json)
- [AuthorityTech publication intelligence projection](https://authoritytech.io/publications.md) — Practitioner projection derived from the neutral Machine Relations Index. It is not source evidence, citation provenance, or sameAs identity for the neutral dataset.