vasilyu1983/AI-Agents-public

Measure and optimize AI coding agent impact — adoption tracking, DORA/SPACE for AI teams, ROI frameworks, DX surveys, benchmarking. Use when measuring AI tool effectiveness or building metrics programs.

Generates conventional commit messages from git diffs. Use when you need well-formatted commit messages following Conventional Commits.

Product analytics instrumentation and strategy covering event taxonomy design, tracking plans, user behavior analysis, activation/retention metrics, and marketing attribution. PostHog-first with multi-platform support (Pendo, Amplitude, Mixpanel, Heap).

iOS testing with XCTest/XCUITest on simulators and devices: layered strategy, determinism/flake control, device matrix selection, CI ergonomics, and repeatable simulator automation.

Production-grade blockchain and Web3 development with Solidity (Ethereum/EVM), Rust (Solana), CosmWasm (Cosmos), including smart contract architecture, security patterns, gas optimization, testing strategies, DeFi protocols, and deployment workflows.

Auto-generates conventional commit messages from git diffs with tiered format enforcement. Analyzes staged changes to produce meaningful commit messages following Conventional Commits specification.

Docs as QA: audit doc coverage and freshness, validate runbooks, and maintain documentation quality gates for APIs, services, events, and operational workflows.

Resilience engineering for QA: failure mode testing (timeouts/retries/dependency failures), chaos experiments with blast-radius controls, degraded-mode UX expectations, and reliability gates.

Systematic debugging methodologies, troubleshooting workflows, logging strategies, error tracking, performance profiling, stack trace analysis, and debugging tools across languages and environments. Covers local debugging, distributed systems, production issues, and root cause analysis.