Evidence note

State of AI-assisted Software Development 2025

Industry Research2025DORA / Google Cloud

What was examined?

DORA's 2025 research programme examining AI adoption and its relationship with individual development work and software-delivery systems.

Key findings

1AI adoption among technology professionals was high.
2Most respondents reported perceived productivity benefits.
3DORA characterises AI primarily as an amplifier of the engineering system surrounding it.
4Higher AI adoption was associated with greater delivery throughput while also being associated with greater instability in the 2025 analysis.

Why it matters. Lornets interpretation.

AI can accelerate local development activity without automatically improving every downstream production outcome. Testing, delivery, platform capability and operational feedback remain part of the performance of the overall system.

This is the Lornets reading of the source, not a finding of the source itself.

What it does not establish

1DORA's organisation-level findings are primarily associative and should not automatically be interpreted as causal.
2The results do not establish that AI inherently reduces software stability.
3The effect of AI depends on organisational and technical context.
4DORA is a Google Cloud research programme and the report names external research partners. Lornets therefore treats it here as industry research rather than independent academic evidence.