LATEST NEWS
WHAT’S HAPPENING AT AKVELON
21
Oct
AI-Assisted Platform Migration: 4× Faster per Component, Parallel by Design
Measured time-to-PR decreased from 20–25 hours to 3–5 hours per Resource Provider, while engineers retained final review and merge control.
19
Oct
Engineering AI Impact
Three Akvelon client projects showing measurable engineering results from AI, followed by the operating principles, AI-assisted workflows, and technology capabilities that help make those results possible.
13
Oct
Akvelon Joins the OpenAI Partner Network
Akvelon has joined the OpenAI Partner Network, reinforcing our commitment to helping organizations develop and implement AI-powere...
02
Oct
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.
28
Sep
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.
19
Aug
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 f...
05
Aug
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 type...
08
Jul
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 practi...
07
Jul
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 h...
06
Jul
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 h...
10
Jun
AI-Assisted Delivery Inside a Large Enterprise Codebase
Akvelon engineers introduced a structured AI-assisted workflow for large legacy systems where development often depends on fragmen...
22
May
Engineering AI Impact: Scalable Platforms, Reliable Pipelines, and Production AI
This edition focuses on a practical question many enterprise teams face today: how to make AI, analytics, and data systems reliabl...