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Nikita Kozodoi

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Nikita Kozodoi

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7 posts

Posts

Builder Center2026

SWE-InfraBench + Kiro: What Happens When a Coding Agent Tackles IaC?

Language models solved only 34% of SWE-InfraBench's infrastructure-as-code tasks in one attempt. We ran Kiro over all 100 and found that a full agent loop with Sonnet 5 reaches 82%, with partially correct answers converging once the agent can re-run the tests itself.

GenAIAgentsEvaluation
AWS Blog2026

AUMOVIO Improves Quality of Automotive Software at Scale Using Multi-Agent AI on Amazon Bedrock

Defects that clear compilers, static analyzers and code review still surface during vehicle integration testing, the most expensive place to find them. We built a multi-agent system that detected 30+ high-priority findings on production code.

GenAIAgentsAutomotive
AWS Blog2026

Medical Legal Regulatory Review Orchestration with AI Agents on AWS

We orchestrate a team of specialized agents that runs medical, legal, and regulatory review of pharmaceutical content. Promotional material is checked against scientific references, regulatory codes, and approved claims, cutting review cycles by up to 90%.

GenAIAgentsHealthcare
Builder Center2026

Accelerate Medical Content Review with Amazon Bedrock AgentCore

An agentic pipeline on Amazon Bedrock AgentCore that checks medical marketing content against compliance guidelines. We look at agent design, tool integration, and what it takes to run the workflow at scale.

GenAIAgentsHealthcare
Builder Center2026

Accelerate Deep Research Workflows with a Sample Amazon Bedrock AgentCore Application

AgentCore Deep Research is an open-source application for multi-source research workflows. We cover deploying it, customizing the research agents, and adapting the pipeline to new data sources.

GenAIAgents
AWS Blog2026

From Isolated Alerts to Contextual Intelligence: Agentic Maritime Anomaly Analysis with Generative AI

Maritime analysts drown in isolated alerts that carry no context on their own. Together with Windward, we built an agentic system that correlates them into enriched anomaly reports, shifting effort from data collection to decisions.

GenAIAgents
AWS Blog2026

Accelerating Mainframe Modernization: How Toyota Motor Europe Uses Amazon Bedrock to Automate Legacy Code Documentation

Undocumented mainframe code is the knowledge-loss problem that stalls enterprise migration. We built agentic pipelines on Amazon Bedrock that generate documentation from legacy sources at Toyota Motor Europe.

GenAIAgentsIDP

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© 2026 Nikita Kozodoi. All opinions are my own.