Everyone Feels Faster. Almost Nobody Can Prove It.

A survey of 554 developers and engineering leaders found that AI coding-tool adoption is nearly universal, with 96.4% of teams using them and 84% of developers reporting productivity gains, yet only 20% of organizations measure those gains specifically and 39% lack any measurement method. Use is shifting rapidly from assistive tools such as autocomplete toward autonomous agents: the share of developers primarily delegating work to agents rose from 7.6% in September 2025 to 28% in June 2026, while two-thirds use agents at least occasionally and 34% run them throughout the workday. More agent-intensive workflows correlate with stronger reported productivity, and enterprises appear to use all-day agents more frequently than smaller organizations while also applying more governance and measurement. Tool preferences vary by company size and agentic behavior, with Codex and Cursor users more likely to operate parallel agents, while Copilot is often the enterprise-approved standard. The report argues that organizations should establish delivery, quality, cost, and review baselines; assess AI maturity; compare tools and models on outcomes; and instrument agent output, while presenting GitKraken Kepler and Insights as products intended to manage parallel agents and quantify AI-related engineering returns.

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.