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Helped development team recover from failed AI implementation, delivering working solution in 3 weeks with 50% faster delivery.

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Key Results

~50% faster delivery with fewer resources
Team recovered from 6-month failure
Business logic verified and stable
Clear documentation & no conflicts

Technologies Used

.NET 8 Azure Functions v4 Azure Storage MS SQL Claude Code (Sonnet 4) Microsoft Copilot Context7 MCP Atlassian MVP Server

The Challenge

Six months of effort had produced nothing deployable. The engineering team was frustrated, leadership was losing trust, and critical banking integrations remained half-finished. We had to reset momentum and prove progress quickly.

Why This Mattered

Accelerated Development

  • AI pair-programmers generated boilerplate and integration scaffolding in minutes
  • Daily working sessions paired consultants with internal staff to unblock in real time
  • Backlog refinements fed prompts so agents worked on the highest-impact stories

Quality with Confidence

  • Automated test generation ensured every feature shipped with coverage
  • AI-powered code reviews flagged edge cases before they reached QA
  • Telemetry dashboards proved stability to leadership and banking partners

Team Enablement

  • Playbooks and live workshops showed the internal team how to sustain AI workflows
  • Documentation hubs captured decisions, prompts, and rollout plans in one place
  • Confidence returned as engineers saw weekly releases land in production

The Outcome

A production-ready proxy delivered in half the time with a team that now trusts its toolset again.

The organization left with shippable software, repeatable processes, and a roadmap the entire group believes in.

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