Constructor Knowledge Labs (CKL) is proud to announce the launch of Code, a three-year research initiative led by Prof. Dr. Giancarlo Succi, Interim Dean of the School of Computer Science & Engineering at Constructor University, and Prof. Alexander Tormasov, Director of Academic Affairs at Constructor Knowledge Labs. Rooted in CKL’s mission to advance knowledge creation and processing through applied AI and software engineering, Code will address a long-standing challenge in modern software development: enabling intelligent, automated integration of open-source components within highly complex, heterogeneous software ecosystems.
While repositories like GitHub contain millions of reusable modules, current integration workflows remain manual, fragile, and unable to cope with the scale and complexity of today’s digital systems. Code aims to change this by creating the Autonomous Framework for Software Integration (AFSI) — an AI-powered architecture of coordinated large language model (LLM) agents capable of automating component discovery, interface matching, protocol translation, and validation across diverse codebases.
The project is developed in close alignment with real-world industrial needs, informed by collaboration with a major technology stakeholder. By the project’s completion, AFSI will be ready for deployment as part of a larger technology platform, extending CKL’s research impact into practice. AFSI’s expected impact spans the software ecosystem:
- Developers, DevOps teams, and IT departments will automate complex integrations, reduce manual workload, and accelerate deployment cycles.
- Startups and SMEs will scale faster without deep in-house integration expertise.
- Large enterprises will enhance maintainability and compliance, particularly in regulated environments such as the EU.
As part of CKL’s broader research strategy, Code stands as a prime example of our end-to-end innovation model, where fundamental research is seamlessly transformed into applied solutions. It reinforces our commitment to applying cutting-edge AI methods to deliver measurable value in real-world settings. Through CKL’s interdisciplinary approach, the Constructor Knowledge Model, and advanced AI capabilities, we are building a new paradigm for how complex software systems are connected and evolved over time.