Vasiliy Uvarov

Tests whether data supports a claim: A/B significance, peeking, sample size, eval error bars, multiple comparisons. Use when deciding if results are significant.

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Theory of Constraints primitives for focusing steps, drum-buffer-rope, throughput accounting, critical chain, and policy constraints. Use when sequencing by bottleneck.

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Creates Godot games from empty project to exported build. Use when starting, building, validating, or shipping a Godot 2D/3D game or app.

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Creates Roblox experiences from empty Studio place to published world. Use when starting, building, validating, or shipping a Roblox game.

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Audits SaaS, cloud, payment, and AI spend. Use when analyzing bills, right-sizing plans, sizing Savings Plans or CUDs, cutting payment-processing fees, or LLM self-host breakeven.

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Guides incident response from detection through postmortem. Use when designing on-call runbooks, triaging production incidents, writing status updates, or improving MTTD and MTTR.

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Designs and troubleshoots NUKE-based CI/CD pipelines for .NET services. Use when refactoring target graphs, splitting test flows, publishing reports, or diagnosing slow pipelines.

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Designs AI-first help centers and self-service support. Use when shaping taxonomy, article templates, or content and answer contract for support AI, not the bot build.

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Guides founder-PM discovery, roadmaps, prioritization, and PMF measurement. Use when planning product strategy, metrics, or roadmaps.

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Builds QA harnesses and agent evals. Use when evaluating tool, trace, red-team, regression, multi-agent, or carried-workspace coding trajectories. Not for metric design (ai-evals).

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Tests API contracts for REST, GraphQL, gRPC, AsyncAPI, and webhooks. Use when adding schema validation or breaking-change gates (Pact, can-i-deploy, oasdiff, buf); not API design.

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Implements OpenTelemetry logs/metrics/traces, SLI/SLO gates, burn-rate alerts, and APM integrations. Use when adding or validating observability.

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Tests apps as an ICP persona through browser automation and reports friction, fixes, and risks. Use when running persona-based, ICP, or synthetic-user testing.

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Refactors code while preserving behavior. Use when reducing technical debt, planning codemods, applying strangler migrations, or tightening CI guardrails around risky changes.

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Designs and tests distributed-system resilience. Use when adding retries, deadlines, hedging, circuit breakers, overload protection, chaos experiments, or SLO reliability gates.

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Builds security testing pipelines for SAST, DAST, SCA, secrets, containers. Use when wiring scanners into CI or regression gates.

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Builds accessibility testing for WCAG 2.2 audits, CI gates, mobile audits, and EAA/ADA/VPAT evidence. Use when adding axe-core, Lighthouse, or screen-reader tests; not fixes.

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Designs Android testing with Espresso, UI Automator, Robolectric, and Compose. Use when planning device matrices, emulator CI, Compose test migration, screenshots, or flakes.

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Designs team Git workflows for branching, PRs, and releases. Use when choosing branching models, stacked PRs, merge queues, worktree isolation for agents, or collaboration rules.

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Grounding-theory primitives for common ground and repair. Use when deciding whether to ask a clarifying question, confirming a handoff was understood, or fixing multi-turn drift.

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Writes PRDs and specs optimized for coding assistants. Use when authoring requirements or project context for Claude Code, Cursor, Copilot, or Codex.

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Debugs crashes, regressions, flakes, and production bugs systematically. Use when diagnosing stack traces, logs, or profiling data; not perf tuning or incident command.

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Audits and enforces documentation quality. Use when checking coverage, freshness, runbook validity, AI-instruction coverage, or cleaning stale/duplicate markdown after LLM edits.

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Measures entropy, mutual information, KL/JS, bits-per-byte. Use when picking KL direction, comparing cross-tokenizer perplexity, trusting MI estimates, or semantic-entropy gating.

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