val me = developer {
about {
name = "Konstantin Pavlov"
company = "JetBrains"
role = "Technical Lead"
}
tech("Kotlin", "Java", "Spring", "AI", "Koog", "Swift", "iOS")
links {
linkedin = "https://linkedin.com/in/kpavlov"
blog = "https://kpavlov.me"
email = "mailto:mail@kpavlov.me"
}
}- Kotlin/kotlinx-schema - Kotlin Multiplatform library that generates JSON Schemas from your methods and classes both at compile-time via Kotlin Symbol Processing(KSP) and at runtime via reflection or kotlinx.serialization. (6 days ago)
- mokksy/mokksy.dev - mokksy.dev website (1 week ago)
- mokksy/.github - Mock HTTP and AI/LLM implementations, inspired by wiremock and mockito (1 week ago)
- mokksy/mokksy - Mokksy is a mock HTTP server built with Kotlin and Ktor (1 week ago)
- modelcontextprotocol/kotlin-sdk - The official Kotlin SDK for Model Context Protocol servers and clients. Maintained in collaboration with JetBrains (1 week ago)
- mokksy/ai-mocks - AI-Mocks is a Kotlin-based mock server toolkit that brings service virtualization to both HTTP/SSE and LLM APIs — think WireMock meets local OpenAI/Anthropic/Gemini/A2A testing, but with real streaming and Server-Sent Events support. (1 week ago)
- JetBrains/koog - Koog is a JVM (Java and Kotlin) framework for building predictable, fault-tolerant and enterprise-ready AI agents across all platforms – from backend services to Android and iOS, JVM, and even in-browser environments. Koog is based on our AI products expertise and provides proven solutions for complex LLM and AI problems (2 weeks ago)
- JetBrains/koog (0.8.0, 2 days ago) - Koog is a JVM (Java and Kotlin) framework for building predictable, fault-tolerant and enterprise-ready AI agents across all platforms – from backend services to Android and iOS, JVM, and even in-browser environments. Koog is based on our AI products expertise and provides proven solutions for complex LLM and AI problems
- modelcontextprotocol/kotlin-sdk (0.11.1, 3 days ago) - The official Kotlin SDK for Model Context Protocol servers and clients. Maintained in collaboration with JetBrains
- langchain4j/langchain4j (1.13.0, 4 days ago) - LangChain4j is an open-source Java library that simplifies the integration of LLMs into Java applications through a unified API, providing access to popular LLMs and vector databases. It makes implementing RAG, tool calling (including support for MCP), and agents easy. LangChain4j integrates seamlessly with various enterprise Java frameworks.
- quarkiverse/quarkus-mcp-server (1.11.1, 5 days ago) - This extension enables developers to implement the MCP server features easily.
- Kotlin/kotlinx-schema (v0.5.0, 6 days ago) - Kotlin Multiplatform library that generates JSON Schemas from your methods and classes both at compile-time via Kotlin Symbol Processing(KSP) and at runtime via reflection or kotlinx.serialization.
- mokksy/ai-mocks (v0.8.0, 1 week ago) - AI-Mocks is a Kotlin-based mock server toolkit that brings service virtualization to both HTTP/SSE and LLM APIs — think WireMock meets local OpenAI/Anthropic/Gemini/A2A testing, but with real streaming and Server-Sent Events support.
- mokksy/mokksy (v0.9.1, 2 weeks ago) - Mokksy is a mock HTTP server built with Kotlin and Ktor
- Higher-Order Attacks on AI Code Agents (1 week ago)
- When Your AI Code Agent Becomes an RCE Engine (1 week ago)
- Javable: generate Java-friendly wrappers for Kotlin with KSP (3 weeks ago)
- kotlinx-schema: Three Ways to Generate JSON Schemas from Kotlin Code (3 weeks ago)
- Mokksy: a mock server that actually streams — and why your AI app needs integration tests (1 month ago)
- Open source deserves better than 'Move Fast' (2 months ago)
- Introducing Kotlinx-schema: generate JSON Schema from Kotlin types and functions (2 months ago)