Customer Story
Needed now more than ever due to vibe-coding, AI-powered platform cuts transformation costs by 90% and quadruples developer output.
Kodou built an enterprise tech debt removal platform on Akka that delivers 10× faster modernization at under 10% of traditional consulting costs — quadrupling developer output for large-scale codebase transformations.
Akka ROI Scorecard
faster enterprise modernization compared to traditional consulting approaches.
of traditional consulting costs for equivalent codebase transformation work.
developer output — each engineer accomplishes four times more modernization work.
Business outcome: enterprise tech debt removed at a fraction of the cost and time.
Enterprise tech debt is one of the most expensive problems in software: outdated frameworks, deprecated APIs, and legacy patterns that slow down every team that touches the codebase. And the problem is accelerating — AI coding assistants and vibe-coding are generating code faster than ever, but much of it introduces new debt: inconsistent patterns, duplicated logic, and framework misuse that compounds over time.
“We saw that enterprises were spending enormous amounts on consulting engagements to modernize their codebases,” says Yves Jean, founder. “The work was repetitive, error-prone, and took far too long. Now with AI-generated code adding to the pile, the need for automated modernization is greater than ever.”
Kodou’s AI-powered modernization platform analyzes enterprise codebases, identifies tech debt patterns, and generates transformation plans — all running as concurrent, distributed workloads on Akka. Each codebase analysis runs as an independent process, enabling Kodou to process multiple client engagements simultaneously without resource contention.
Akka’s fault tolerance ensures that a failure analyzing one module never affects the analysis of others — critical when processing codebases with millions of lines of code. The event-driven architecture also provides a natural audit trail of every transformation decision.
Speed to production. 10× faster modernization compared to traditional consulting — what used to take months now takes weeks.
Scale. Multiple enterprise codebases analyzed and transformed concurrently, with each engagement isolated and independently managed.
Cost to operate. Under 10% of traditional consulting costs for equivalent transformation work, with 4× developer output per engineer.
Business impact. Enterprises modernize their codebases in a fraction of the time and cost, freeing engineering teams to focus on new features rather than maintaining legacy systems.
Code modernization is a prime application for agentic AI. On the Akka Agentic AI Platform, each modernization engagement becomes a fleet of governed agents: a code analysis agent that maps dependencies and identifies debt patterns, a transformation agent that generates and validates migration code, and a verification agent that ensures behavioral equivalence before and after changes.
These agents collaborate autonomously — the analysis agent discovers a deprecated API, the transformation agent proposes a replacement, and the verification agent confirms the change is safe — all within governance guardrails that prevent destructive modifications. With Akka’s durable state, every transformation decision is traceable end-to-end. Enterprises build on the Akka Agentic AI Platform directly, or have a system delivered and operated through Akka Specify.
