Certify what your team can actually do with your own AI stackClaude Code.

“Partnering with Sthuthi Tech to certify our engineering organization on Claude Code transformed our delivery pipeline faster than any tool rollout we’ve attempted before. The structured hands-on approach didn't just teach syntax—it reshaped how our teams architect, refactor, and review payment microservices daily. We saw immediate uplift in developer velocity and code quality right out of Batch 1, which made expanding the certification to our remaining core teams an easy decision.”

Payzon reported a 35% reduction in code review turnaround time and increased test coverage within 30 days of its first cohort. These results were reported to us by The Payzon, which authorised their publication. Sthuthi did not run the measurement, and results depend on each team's starting point.

“The value for us was not simply showing engineers that Claude Code could write code. They already knew that. The harder question was how you use it responsibly across a larger engineering organisation where people are working in existing systems, reviewing one another’s changes and shipping software customers depend on. Sthuthi Tech built the training around that reality. There was a strong emphasis on understanding the codebase first, planning before changing things, testing the output and keeping the engineer in control. That made the programme practical for us rather than theoretical.”

“Our team did not need another general introduction to AI. We needed a stronger engineering method for using Claude Code on real development work. Sthuthi Tech understood that from the beginning. The programme went into context management, planning changes before implementation, working across larger codebases, debugging and, importantly, reviewing what Claude produces instead of assuming the first answer is correct. I liked that the certification treated the engineer as accountable for the outcome. That is exactly how these tools need to be adopted in serious technical environments.”

“Before the certification, our developers were already experimenting with Claude Code, but everyone was using it differently. What Sthuthi Tech gave us was a much more disciplined way of working with it. The team became better at giving Claude the right repository context, breaking larger changes into sensible steps, reviewing generated code properly and using it for debugging without handing over engineering judgement. For a small technical team, that consistency made a noticeable difference very quickly.”

ShelVey AI is part of Sthuthi's own network. We include this first organisational cohort as an affiliated engagement, not as independent proof.