Developers mostly use AI for low-risk tasks, with search for answers leading at 54.1% and deployment and monitoring trailing at 6.2%

Workflow & automation

Share of developers currently using AI for most of each workflow task (%)

Share of developers currently using AI for most of each workflow task (%)
Workflow task	% of respondents
Search for answers	54.1%
Generating content or synthetic data	35.8%
Learning new concepts or technologies	33.1%
Documenting code	30.8%
Creating or maintaining documentation	24.8%
Learning about a codebase	20.8%
Debugging or fixing code	20.7%
Testing code	17.9%
Writing code	16.9%
Predictive analytics	11%
Project planning	10.8%
Committing and reviewing code	10.2%
Deployment and monitoring	6.2%

Reader Note:: The base for this chart is 11,202 respondents. The chart asks which parts of the development workflow respondents are "currently integrating into AI or using AI tools to accomplish or plan to use AI to accomplish over the next 3 - 5 years," and these values are specifically the share marked "Currently Mostly AI" for each workflow task. The report does not say when the survey ran.
Evidence:: Self-reported behaviour
Vendor interest:: Moderate — This comes from a company with a commercial interest in this market, so it is not a neutral source.
Sample:: Survey respondents on Stack Overflow; most charts show roughly 26,000 to 34,000 responses, with smaller subsets for AI agent users and specific follow-up questions.

Good for

A rough sense of size and direction, and deciding what to look at first.

Exact numbers, or saying that one thing caused another.
This comes from a company with a commercial interest in this market, so it is not a neutral source.
The source never says when this data was collected. It could be considerably older than the publication date suggests.

10%

of organisations are realising significant ROI from agentic AI in Deloitte’s 2025 survey of 1,854 EMEA executives

24–56%

of marketing tasks are currently performed using AI or ML, rising to over half in three years according to US CMOs (2026 survey)

Our Substack turns the data behind these cards into full breakdowns: what changed, why, and what to do about it.

90% of CMOs are experimenting with AI but fewer than 10% have scaled it or realized value across marketing workflows

42.3%

of wrong AI answers were overridden with incentives and item-level feedback in Study 3 versus 20.0% in the control group

14%

average increase in sales productivity reported from using AI in marketing by US companies (2026 survey)

77% of brands say AI-assisted influencer campaigns perform better