Can You Prove Your AI Agents Are Paying Off? Most Developers Can’t
Blog post from GitKraken
A webinar poll of developers found that while AI-agent adoption is widespread, only 24% can demonstrate with data that agents are delivering value, leaving most reliant on intuition, uncertainty, or concerns about increased spending. Developers’ primary measurement priority is whether agents operate efficiently without requiring extensive supervision, rather than simply tracking token or subscription costs. Many teams already use multiple agents simultaneously, but hidden costs such as rework, code review, and merge delays nearly equal visible spending concerns. GitKraken positions its Kepler agentic development environment and Insights reporting product as tools to coordinate multi-agent workflows, manage commits and conflicts, preserve human oversight, and measure the efficiency and downstream impact of AI-assisted development.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| AI Agents | 9 | 5,565 | 1,404 | 270 | -7% |
| Multi-agent systems | 1 | 465 | 142 | 70 | +4% |
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