"DevClarity has helped our team leverage Claude Code to spend less time focusing on small decisions or syntax, and more time on architecting solutions to key problems or new features."
DevClarity worked with a defense-grade cyber security company that builds solutions to neutralize threats and protect sensitive information for classified government systems. With 300+ developers handling mission-critical code for the most sensitive customers in the world, they needed AI engineering workflows that preserved security rigor while accelerating their teams' velocity.
Like many enterprise software organizations, the engineering team faced familiar pressures. Legacy systems that had been maintained for years needed to be migrated to newer frameworks. Infrastructure to support these systems needed to be updated too. Not to mention the constant demand to deliver faster without compromising quality.
On top of these common challenges, they had to overcome a more fundamental obstacle: operating in a tightly controlled, defense-grade environment. If the organization was going to use AI engineering workflows to help accelerate development, it needed to do so without compromising its strict security & compliance regulations. The new workflows needed to be communicated through the established governance frameworks that the team relies on to understand what is permitted.
DevClarity delivered a comprehensive AI enablement program: environmental setup & tooling advisory to satisfy their strict security needs, foundational training for all 300+ developers, plus hands-on directed effort sessions across multiple projects in the business, including writing automated QA tests using Playwright, migrating frontends from Angular to React, and migrating Oracle Database queries to PostgreSQL.
Since security was a focus, the team leveraged Claude Code with Amazon Bedrock instead of generic out-of-the-box models. This allowed the organization to maintain complete data sovereignty while still accessing advanced AI capabilities. The stringent security & compliance boxes were checked. The team understood which tool to use and how it should be accessed.
Now ready for training, DevClarity built workflow artifacts tailored to the team's codebases and high-impact projects:
Teams learned by doing: working on real migrations with DevClarity, watching AI outputs, diagnosing issues, and systematically hardening their CLAUDE.md files and prompts. This built confidence through transparency and control.
"I was surprised to learn that these workflows remove many of the things I don't care for in my career and enables me to do more of what I love about my career."
- Developer, 25+ years experience
Within weeks, metrics demonstrated transformation across the engineering organization:
Knowledge transfer proved self-sustaining: A key technical leader is now reproducing what was learned during the migration working sessions with his own team and expanding to other teams, taking the Angular to React workflow artifacts and using Claude Code to create new workflow patterns for other use cases outside of migration.
What the defense contractor received: A systematic AI-coding process for 300+ developers: CLAUDE.md context files, human-in-the-loop planning prompts, and migration workflows that now live in their repos—plus teams trained to own and iterate on them.
The organization moved from low-confidence, sporadic AI usage to systematic adoption with demonstrated productivity gains, all while preserving the security oversight essential for classified systems development.
If it's secure for them, it's secure for you.
Learn more about how this defense contractor enabled 300+ developers with AI-first workflows while maintaining security compliance.
Talk to DevClarity →