Building robust, scalable applications on the JVM. Here I share technical insights into software architecture and the integration of AI into modern systems.
Konstantin Pavlov
Software Engineer
Featured
The cookie story: when build failures became sweet accountability
A deceptively simple rule transforms a chaotic development team: break the build, buy cookies. What starts as lighthearted motivation evolves into a …
Secure Java logging with Logback
Deploying application into secure environment adds some restrictions on logging and log management. OWASP community gives some useful recommendations.
Maximizing efficiency with UI-first development: a client-centric approach to project success
One of the challenges for start-ups or any new project is to reduce the amount of work while still delivering a full-featured product. Agile methodologies …
Recent
Tachyon MCP: A Spec-Forward Java Runtime for the MCP Ecosystem
Tachyon is a standalone Java MCP server built on Netty — no framework required, with first-class protocol extensions, virtual-thread handlers, and a stateless …
Integration Testing on the JVM: My Ideal Process, End to End
Master robust integration testing for JVM web services. Learn how to simulate databases, Kafka, and LLMs with Testcontainers and Mokksy for fast, parallel …
Higher-Order Attacks on AI Code Agents
Direct prompt injection is just the beginning. Higher-order attacks manipulate agents into producing malicious code, propagating intent across systems, and …
When Your AI Code Agent Becomes an RCE Engine
If your AI code agent treats repository content as instructions, any contributor can execute commands. This article maps the direct injection attack surface and …
Javable: generate Java-friendly wrappers for Kotlin with KSP
Javable is a KSP2 processor that generates Java-friendly wrappers for Kotlin classes, turning suspend functions into CompletableFuture, Flow into Stream, and …