---
title: "DORA"
section: "entities"
type: "entity"
created: "2026-08-27"
updated: "2026-08-27"
confidence: "high"
tags: ["company", "evaluation"]
canonical: "https://pyweb.dev/wiki/dora"
---
# DORA

DORA researches software delivery performance and organizational capabilities. Its 2025 report frames AI as an amplifier of an organization's existing strengths and weaknesses, placing the surrounding delivery system—not tool adoption alone—at the center of outcomes. [[source: dora-ai-assisted-software-development-2025]](/wiki/raw/articles/dora-ai-assisted-software-development-2025)

## Related
- [agentic quality evidence](/wiki/agentic-quality-evidence) — organizational evidence
- [agentic software factory](/wiki/agentic-software-factory) — delivery operating model
- [agentic code quality](/wiki/agentic-code-quality) — quality controls

---

## Agent Navigation

cluster: person (170 pages) | betweenness: 1.3

### References (outbound)
- [Agentic Code Quality — Evidence Map](https://pyweb.dev/wiki/agentic-quality-evidence.md)
- [Agentic Software Factory](https://pyweb.dev/wiki/agentic-software-factory.md)
- [Agentic Code Quality](https://pyweb.dev/wiki/agentic-code-quality.md)

### Referenced by (inbound)
- [Agentic Code Quality Evidence — Entity Accounting](https://pyweb.dev/wiki/agentic-code-quality-entity-accounting.md)

### Evidence (verified primary sources)
- [dora-ai-assisted-software-development-2025](https://pyweb.dev/wiki/raw/articles/dora-ai-assisted-software-development-2025.md) | origin: https://dora.dev/dora-report-2025/ | ingested: 2026-08-27 | sha256: 1ebe33457ca9698414c34b13ad26379f63ebedfb727f570888703e612324ebfe

### Machine endpoints
- Knowledge graph: https://pyweb.dev/api/graph.json
- Graph analysis: https://pyweb.dev/api/graph-analysis.json
- Context index: https://pyweb.dev/llms.txt