Ticket-to-Code Autonomous Delivery

A large Latin American digital bank with more than 1,000 engineers undertook a migration of approximately 100,000 data class implementations, originally scoped at 18 months of manual effort. After deploying an autonomous coding agent from Cognition Labs, the organization achieved eight to 12 times faster migration per data class, with migration costs reduced by 20 times. The agent was fine-tuned on examples of previous manual migrations and demonstrated compounding learning, avoiding common errors more effectively over time. Human engineers shifted to a review-and-approve role, checking the agent's pull requests and making minor adjustments before merging.

A large European fintech company valued at more than 2 billion euros partnered with Cognition Labs and Microsoft Azure for application modernization and cloud migration. According to a Microsoft customer case study, the deployment resulted in a 50% reduction in project costs and up to a two-times increase in developer productivity. Separately, a major global investment bank deployed the same autonomous agent as part of a hybrid workforce strategy, assigning the agent to handle routine engineering tasks while human developers focused on complex financial system architecture.

At the broader market level, DX research covering 4.2 million developers between Nov. 2025 and Feb. 2026 found that AI-authored code now accounts for 26.9% of all production code, up from 22% the prior quarter. Among daily AI users, nearly one-third of merged code is AI-generated. The same research found that developer onboarding time, measured by time to the 10th pull request, has been cut in half since the first quarter of 2024.