AI workflow current and expected
Our analysis
Adoption centers on familiar-code generation (69%), debugging/refactoring (64%), straightforward questions (59%), and tests (58%). Communications tasks have the strongest resistance: 46% do not use AI there and do not plan to.
Question
Which parts of your workflow are you currently integrating into AI or using AI agents to accomplish? Will they be more or less integrated over the next year? Please select one for each scenario.
- scale
- Optional
- v2026.1
Data
| Currently use AI or AI agents for this | Expect to use AI More or AI agents more for this | Expect to use AI or AI agents less for this | Do not use AI or AI agents for this and do not plan to | This is not part of my workflow | |
|---|---|---|---|---|---|
| Analyzing data, logs, metrics, or query results | 41.9% | 37.5% | 5.7% | 16.3% | 13.0% |
| Answering complex or ambiguous technical questions | 50.0% | 32.7% | 11.4% | 17.9% | 4.4% |
| Answering straightforward technical questions | 59.4% | 29.0% | 7.5% | 16.5% | 4.2% |
| Architecture or technical design exploration | 47.4% | 28.2% | 8.2% | 19.2% | 12.1% |
| Creating or configuring development/test environments | 28.1% | 28.8% | 6.7% | 28.7% | 17.9% |
| Debugging, troubleshooting, or refactoring code | 63.8% | 36.1% | 8.2% | 8.8% | 2.7% |
| Deploying, operating, or troubleshooting production systems | 19.9% | 23.3% | 7.4% | 36.0% | 22.0% |
| Finding or fixing security issues | 34.6% | 37.9% | 6.6% | 14.7% | 19.1% |
| Generating code in a familiar area | 69.3% | 31.2% | 7.7% | 9.0% | 2.3% |
| Generating code in an unfamiliar area | 56.0% | 33.8% | 11.0% | 12.3% | 4.3% |
| Generating visual, audio, or multimedia elements | 17.5% | 18.8% | 5.3% | 24.1% | 42.9% |
| Product, UX, or visual design | 30.3% | 25.4% | 5.0% | 15.1% | 34.6% |
| Reviewing code, pull requests, or design decisions | 40.5% | 32.4% | 8.7% | 22.6% | 10.1% |
| Searching, summarizing, or interpreting internal knowledge | 49.7% | 36.1% | 5.7% | 15.8% | 7.9% |
| Understanding or onboarding to a new codebase | 49.7% | 35.1% | 5.7% | 12.9% | 11.6% |
| Writing documentation, comments, or knowledge base content | 51.1% | 35.9% | 7.0% | 16.3% | 6.7% |
| Writing emails, messages, summaries, or other communication | 23.5% | 20.8% | 8.2% | 45.9% | 10.9% |
| Writing or improving tests | 58.1% | 35.0% | 5.6% | 8.5% | 10.4% |
| Writing tickets, requirements, plans, or project updates | 27.8% | 28.0% | 7.5% | 30.5% | 17.2% |
Use this data
The Markdown table shows one column per segment; the CSV and JSON carry every measure.
Response data is released under the ODbL 1.0, which asks that you attribute it.
Structured for code, with the question, the year and the source url alongside the numbers.
A formatted table, ready to paste into a document, an issue or a prompt.
Spreadsheet
.csv is a plain text format which most spreadsheet software can open.