BOSTON, July 8, 2025 — Software program engineering platform Jellyfish revealed the 2025 State of Engineering Administration report, which measures the affect of AI coding instruments on engineering work — from day-to-day workflows to large-scale organizational priorities. The sixth annual report supplies an replace on how engineering groups are adopting AI, which coding instruments they’re deploying, how they’re paying for his or her AI investments, amongst different findings.
In line with the analysis, engineering groups are attaining substantial will increase in developer velocity and productiveness through AI coding. Software program engineers are united in a single space — the embrace of AI coding instruments — however break up on the place the funds for these instruments ought to come from and the way AI stands to affect their productiveness transferring ahead. Notably, 45% of respondents anticipate offshoring as a share of their engineering headcount to extend over the following 12 months.
Findings from the report embody:
Adoption of and belief in AI has spiked: General, 90% of groups are embracing AI coding instruments to reinforce their engineering practices, a big enhance from final 12 months when 61% of respondents stated their engineering organizations had embraced AI. Solely 3% should not utilizing AI instruments with no plans to take action.
AI is driving actual affect: Six in 10 (62%) respondents imagine they’re attaining at the very least a 25% enhance in developer velocity and productiveness through AI coding. Lower than 1% of respondents imagine AI is slowing them down.
Relating to AI, code writing is main the cost: The preferred use case for AI coding instruments is writing code. GitHub Copilot is the instrument of selection for 42% of respondents, adopted by Google’s Gemini Code Help, Amazon Q and Cursor.
The long run can be a hybrid of people and AI: Lengthy-term, respondents count on a good portion of software program growth work to shift from individuals to AI. Eight in 10 (81.4%) respondents imagine that at the very least 25% of the engineering work people do right now can be dealt with by AI 5 years from now.
Corporations proceed to spend money on engineering: Six in 10 (61%) respondents stated their engineering funds elevated as a share of firm income from 2024 to 2025, in comparison with 19% who stated it remained the identical and 17% who noticed a lower.
Jellyfish surveyed 645 full-time professionals globally, in varied engineering roles, together with particular person contributors, managers, and executives. Respondents — representing corporations starting from small engineering groups with fewer than 10 individuals to enterprises with greater than 500 engineers — gave their ideas on AI, engineering funding, and metrics.
“Adopting AI in software program engineering is not elective, however unlocking its full worth requires greater than entry to coding instruments,” stated Andrew Lau, CEO and co-founder of Jellyfish. “It requires intentional measurement, structured enablement, and cultural funding. This isn’t a tooling improve — it’s an organizational transformation.”
