R0007/2026-03-20/C015 — Assessment

Research	R0007 — AI Cognitive Amplifier
Run	2026-03-20
Claim	C015

BLUF

Confirmed. The 2025 DORA Report found AI-assisted developers completed 21% more tasks and merged 98% more pull requests. However, organizational software delivery performance metrics (lead time, deployment frequency, change failure rate, MTTR) remained flat. Code review time increased 91% and PR size grew 154%.

Probability

Rating: Almost certain (95-99%) Confidence in assessment: High Confidence rationale: Based on web-accessible evidence.

Reasoning Chain

1. The 2025 DORA Report found: individual developers using AI completed 21% more tasks and merged 98% more pull requests. However, organizational delivery metrics stayed flat. Code review time increased 91%, PR size grew 154%, bug rates climbed 9%. AI acts as an amplifier of existing organizational conditions, not a universal productivity improver. [SRC01-E01, High reliability, High relevance]

Evidence Base Summary

Source	Description	Reliability	Relevance	Key Finding
SRC01	DORA State of AI-assisted Software Development 2025	High	High	See BLUF
## Collection Synthesis
Dimension	Assessment
-----------	------------
Evidence quality	Medium to Robust
Source agreement	High
Source independence	Assessed per claim
Outliers	None
### Detail
The 2025 DORA Report found: individual developers using AI completed 21% more tasks and merged 98% more pull requests. However, organizational delivery metrics stayed flat. Code review time increased 91%, PR size grew 154%, bug rates climbed 9%. AI acts as an amplifier of existing organizational conditions, not a universal productivity improver.
## Gaps
Missing Evidence	Impact on Assessment
-----------------	---------------------
Full-text access	Low to Moderate
## Researcher Bias Check
Declared biases: None.
Influence assessment: Standard verification.
## Cross-References
Entity	ID	File
--------	----	------
Hypotheses	H1, H2, H3	hypotheses/
Sources	SRC01	sources/
ACH Matrix	—	ach-matrix.md
Self-Audit	—	self-audit.md