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From 24–40 Hours to 15–30 Minutes: AI-Assisted TypeSpec Generation for Azure Resource Providers
Akvelon built a Copilot-based AI skill that generates TypeSpecs from Resource Provider code, runs automated validation, and corrects detected issues before final engineer review.

Scaling Legacy .NET Modernization with an AI-Assisted Migration Toolkit
Akvelon extended the existing migration capability with dedicated build-output validation and migration-review skills, then combined all three into a toolkit.

Automated Build Artifact Comparison: 30× Less Engineer Time With Standardized Reporting
Akvelon built a Copilot-assisted PowerShell script that automates artifact download, JSON comparison, and HTML report generation for build validation. What

AI-Accelerated Feature Flag Cleanup: Up to 75% Less Manual Effort per Flag
Akvelon built a production AI skill that removes obsolete feature flags from production code and tests, handles multiple flag types,

AI Transformation for Financial Services: RAISE, AI Readiness Assessment, and Enterprise Delivery
Scaling AI in financial services requires strong governance, integration, and measurable value. In this edition, we explore practical steps for

When AI Coding Tools Become an Engineering Workflow Problem
AI coding tools can increase engineering output and quietly multiply cost, correction loops, and workflow inconsistency. Here’s how to spot

AI-Accelerated Delivery for Platform Engineering Lifecycle With Anthropic Claude
Internal platform engineering teams use generative AI to speed up delivery, but arbitrary prompting and generic retrieval rarely hold up
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David, the Engineering Manager of Reddit’s Ads Measurement Core Team, expresses his appreciation for the partnership with Akvelon, noting the exceptional support and high-quality engineers provided by Akvelon.
Michael Lu, Principal Software Engineering Manager at Microsoft Azure, reflects on a multi-year partnership with Akvelon. What started with UI development grew into a full offshore team delivering data pipelines, ML, and AI innovation. He highlights Akvelon’s technical strength, proactive solution design, and clear, responsive communication.
Akvelon stays responsive to feedback, adapts as needs evolve, and consistently delivers.
It’s a partnership that frees stakeholders to focus on business, not micromanagement.
That’s why Microsoft continues to trust Akvelon with complex engineering work.