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🎉 A case study with Zühlke was published! They use DCM to keep complex, mission-critical #Flutter apps maintainable across healthcare, industrial engineering, and enterprise projects. 💯 Result: faster PRs, fewer regressions, and better visibility into technical debt. How?👇

Zühlke scaled complex Flutter projects to 14 developers! 💻 When designing a multi-layered structure that includes domain, application, infrastructure, & UI, it becomes difficult to maintain consistency. Without guardrails, PR reviews became repetitive & the architecture broke.

Zühlke engineering team adopted DCM for its speed, depth, and architectural features with a baseline-first approach. The baseline helped them introduce strict rules without breaking the existing codebase, & to gradually review the rules together during weekly team meetings.

With DCM, the Zühlke engineering team enforces: 📐 Architectural import rules 💀 Unused code checks ✅ Translation checks 🚪 CI quality gates ⏱️ Custom rules like clock .now() 🚀 Maintainability metrics like complexity & nesting depth And that's not all!

One feature stands out: memory leak detection, as Djordje, Lead Software Architect and People Lead at Zühlke says: "Memory leak detection helps a lot. I might not notice every time, DCM warns me immediately." That proved especially valuable in complex reactive flows.

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In fact, Nicholas, Team Lead at Zühlke, puts it nicely on how DCM is playing a role: “Integrate DCM from the start, before writing a single line of code. It saves enormous effort later.” Read the full case study: dcm.dev/customers/zu...

dcm.devZuehlke Customer Story | DCM - Code Quality Tool for Flutter DevelopersWith DCM, Zühlke engineers spend less cognitive effort on repeat comments, PR reviews move faster, and the team has fewer runtime issues thanks to strict structural and leak-prevention rules.