Skip to content

AI for engineers and go-to-market#

With 15+ years in developer tools, automation and community analytics, I approach AI as an engineering problem rather than a standalone technology. So, I apply AI in all my consulting areas, including developer tooling and community management.

Consulting enquiries

Email consulting@oleg.swiss or book a consulting call.

Technical side#

My focus is on developer productivity and engineering systems: giving AI agents the right context, tools, APIs, and feedback loops to work effectively with real-world projects. From the engineering standpoint, I am ready to work on Generative AI, coding agents, MCP, RAG, and in practical software-development workflows.

My preferred areas:

  • AI strategy and developer experience for DevTools companies
  • Integration of AI with CI/CD, build systems, code quality, and engineering analytics
  • AI-assisted documentation retrival and writing productivity, for humans and agents
  • Developer environments optimized for agens and AI-assisted development
  • Adoption and tuning of coding agents for projects, including MCP and skill development

Reference - AI-assisted Developer Productivity at BIS Innovation Hub

Dr. Nenashev advises on internal AI initiatives and adoption, including applied research on AI-assisted software development using generative AI and coding agents, as well as the assessment and enablement of AI tools across BIS Innovation Hub teams.

// Interim reference for the consulting mission at the // Bank for International Settlements Innovation Hub, since December 2025

AI for Go-to-Market and Go-to-Community#

I also apply AI for community management and community analytics. My work have helped not just the community itself, but also customer success, marketing and sales departments for my recent clients.

Potential areas include:

  • AI positioning & strategy for developer tools.
  • Developer advocacy and community building for your AI projects
  • Writing productivity tools for AI-assisted content development
  • AI optimization for the websites and documentation
  • Community analytics with tools such as Common Room and GrimoireLab
  • Integration of community and developer data into customer and business analytics pipelines

Select experience#

Recent work includes:

  • Recent non-open source clients: AI enablement, Generative AI and coding-agent adoption, context management, implementation of custom MCPs for feature flagging.
  • Gradle Build Tool: prototypes for agent-friendly build tooling, MCP integrations, AI-assisted dependency management and documentation retrieval.
  • WireMock: GenAI-assisted API mocking, test generation, OpenAPI reverse engineering, and context management.

Some recent client work is confidential.

Learn more#

Explore Developer Productivity and Jenkins Consulting for AI in engineering systems and CI/CD, or Developer Relations and Community Building for AI-assisted content and community analytics. See also my talks about AI. See all consulting areas as well as the open source projects for practical examples. I use AI for their development, both Claude and GitHub Copilot.