Autonomous Search Engineering & LLM Runtimes

Empirical research, architectural specifications, and multi-agent benchmarking for next-generation developer toolchains and search systems.

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Principal Investigator: Dr. Elena Rostova

Lead Semantic Search Engineer & Agent Frameworks Researcher

Dr. Elena Rostova is an ontology architect and search systems researcher. She specializes in semantic graph construction, multi-agent developer workflows, and universal skill standards across Claude Code, Google Antigravity, and Cursor IDEs.

Featured Publications & Technical Audits

Standardizing Autonomous SEO Skills: Multi-Agent Architectures Across Claude Code, Antigravity, and Cursor IDEs

A deep dive into how standardized open-source skill suites and Model Context Protocol (MCP) servers unify technical SEO and automated remediation across leading AI coding runtimes.

2026-08-12 Read Analysis →

Hierarchical Sub-Agent Delegation in Technical Auditing

How multi-agent task distribution eliminates context loss and enhances auditing accuracy.

2026-07-31 Read Analysis →

Model Context Protocol (MCP) in Automated Search Optimization

Leveraging open MCP servers to connect AI coding agents with local SEO audit scripts.

2026-07-20 Read Analysis →

Continuous Search Compliance in Git Pull Requests

Automating SEO linting and regression testing within GitHub Actions and GitLab CI.

2026-07-09 Read Analysis →

Core Research Methodologies

Token Economic Optimization

Measuring AST transformer efficiency and localized context window reduction across 12 AI coding runtimes.

Information Gain Modeling

Implementing US Patent 11,562,019 B2 to compute semantic novelty deltas across enterprise web corpora.

Shift-Left CI/CD Verification

Integrating zero-telemetry automated diff generation into developer pre-commit hooks and pull requests.