Dmytro Lisnichenko
Senior Java Engineering Lead / Principal Developer
Building developer tools and AI integrations that make complex systems simple.
Java · Kotlin · Python · TypeScript · AI · Linux
Senior Java Engineering Lead / Principal Developer
Building developer tools and AI integrations that make complex systems simple.
Java · Kotlin · Python · TypeScript · AI · Linux
Open-source developer tools for the Java/JVM ecosystem
A comprehensive set of Model Context Protocol servers that give AI coding assistants deep understanding of your Java backend infrastructure.
npx mcp-java-backend-suite
Install all 5 servers at once
PostgreSQL, MySQL & SQLite schema analysis, index optimization, and query insights
TypeScript · npmThread dump analysis, deadlock detection, heap diagnostics, and GC log parsing
TypeScript · npmDatabase migration risk analysis with Flyway and Liquibase support
TypeScript · npmMemory analysis, slowlog inspection, client monitoring, and keyspace insights
TypeScript · npmHealth checks, metrics analysis, bean inspection, and environment diagnostics
TypeScript · npmIntelliJ IDEA plugin for static detection of JPA/Hibernate N+1 query patterns
Java · JetBrainsIntelliJ IDEA plugin for identifying Spring Boot startup bottlenecks
Java · JetBrainsAI-powered sprint analytics and forecasting for Jira
TypeScript · Atlassian ForgePredictive SLA breach detection for Jira Service Management
TypeScript · Atlassian ForgeAutomated behavioral testing and verification for MCP servers
TypeScript · MCPPolish e-invoicing (KSeF) compliance and validation tool
Kotlin · Spring BootI'm a senior Java engineering lead based in Kraków, Poland, originally from Ukraine. With over 15 years of experience in the Java/JVM ecosystem, I specialize in building robust backend systems, developer tooling, and infrastructure automation. Contributor to Apache Ambari, Stack Overflow veteran (12.5k+ rep), with products on JetBrains Marketplace and Atlassian Marketplace.
Deeply invested in the AI-augmented development space — designing MCP servers that give AI coding assistants real-time access to backend infrastructure, building AI-driven orchestration pipelines, and exploring how LLMs can be woven into everyday engineering workflows. I see AI not as a replacement for developers, but as a force multiplier that makes experienced engineers dramatically more effective. With AI, your fishing boat becomes an aircraft carrier — and suddenly you can change from local fishing routes to something far more global.
My current focus spans developer tools and AI integrations — from MCP servers that bridge AI assistants with databases, JVMs, and Spring Boot services, to IDE plugins that catch performance issues before they reach production, to intelligent automation that turns manual ops into self-healing systems.
I believe in shipping tools that solve real problems for engineers — less configuration, more insight, zero fluff.
Open to collaborations, feedback, and interesting conversations