Viktoria Evdokimova

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Viktoria Evdokimova

PM working on AI coding agents for the Java/JVM ecosystem. She focuses on how AI agents integrate with IDEs to support debugging, refactoring, and code navigation, and is passionate about developer productivity, JVM tooling, and helping specialists find reliable technical information faster.

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Viktoria Evdokimova

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PM working on AI coding agents for the Java/JVM ecosystem. She focuses on how AI agents integrate with IDEs to support debugging, refactoring, and code navigation, and is passionate about...

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One Base URL, Many Coding Agents: What an OpenAI-Compatible Gateway Looks Like From java.net.http

Table of Contents What a gateway is, mechanicallyProbing it from JavaThe boundary a Java developer should care aboutLesson one: code does not tokenize like proseLesson two: refresh the token before it dies, one per serverA checklist before you paste a ...

Debugging Is Invariant Discovery: What One Kafka Session Taught Us About AI Agents

Table of Contents The shape of the sessionWhat the agent got rightWhat it got wrong, and why it matters for Java teamsThe agent’s only sensor was the developerThe Java lesson: write the invariant down where a test can see itWhat …

“Commit created” — but it isn’t: why the agent’s word needs external verification, and what the mistake costs

Table of Contents What the issue trackers show”Committed” and “pushed”Where the JetBrains IDE keeps the evidenceA five-minute walkthroughAcceptance checklist for agent-reported side effectsFAQConclusionSourcesA detailed report reads like proof. The agent lists the files it touched, names the branch, quotes a …

Did Your AI Agent Ever Run a Debugger? One JVM Bug, Two Agent Runs

Table of Contents The method under testA checklist you can apply with any agentJava developers reach for the debugger without thinking about it. Set a breakpoint, run the failing test, look at the variables, then decide what to change. Most …

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