For 17 years Petyo has been developing Java enterprise applications, integrations, and SOA and microservices solutions. As a leading architect in Qinshift (ex. Musala Soft), a global technology company with 6000+ experts, he helps teams reliably deliver large-scale multi-year projects for demanding clients like IBM, Deutsche Telekom, Volkswagen, banks, FinTech unicorns, and startups.
Over the last year, Petyo has also taken over responsibilities for the company’s Data & AI service offering, focusing on winning key accounts, elevating services for existing clients, and continuously enhancing the offerings with the latest innovations.
Petyo also has a Ph.D. in computer systems and enjoys sharing and gaining knowledge at conferences and community events.
Recent research suggests that AI-assisted coding can boost developer productivity by ~20%. Do you need to use a commercial product like GitHub Copilot or ChatGPT to achieve this?
Learn how you can extend your IDE or offer a chat-like interface via existing open-source solutions. Experiment with LLMs locally via Ollama and discover which are the most promising models. Compare this setup to the market leaders and understand the tradeoffs.
Key Takeaways: Productivity gains with popular AI-assisted tools; Overview of open-source AI-assisted tools; Comparison of open source vs. commercial AI models; Benefits and drawbacks.