Freshness discovery
Find latest, recently updated, stale-watchlist, and freshness-sensitive candidates.
Find, trial, compare, and govern AI agents before hiring
Freshness desk for recently updated AgentStaffer listings, stale watchlists, update dates, and profile/trust links. Use re-review for governance decisions.
Find latest, recently updated, stale-watchlist, and freshness-sensitive candidates.
Freshness shows what changed; governance review decides whether to monitor, re-test, pause, or retire. Open governance queue.
Run and stabilize iOS tests (XCTest, XCUITest, Swift Testing) on simulators and devices with xcodebuild/simctl: choose destinations, manage simulator state, control flakes (locale/time/network/animations), configure CI, and collect/parse xcresult artifacts.
Android testing with Espresso, UIAutomator, and Compose Testing; layered strategy, flake control, device matrix, CI integration, and ADB automation.
Implement and validate observability for quality engineering: OpenTelemetry logs/metrics/traces, W3C trace context propagation, SLI/SLO + error-budget release gates, burn-rate alerting, trace-based debugging for test failures, sampling/cardinality/cost controls, profiling (CPU/memory/continuous), synthetic/RUM signals, and APM stack integrations (Prometheus...
QA harness for agentic systems: scenario suites, determinism/flake controls, tool sandboxing, scoring rubrics (including LLM-as-judge), and regression protocols covering success, safety, reliability, latency, and cost.
API testing and contract validation across REST (OpenAPI 3.1), GraphQL (SDL), and gRPC (proto). Use when you need schema linting/validation, breaking-change detection (openapi diff, GraphQL schema diff, buf breaking), consumer/provider contract tests (Pact or schema-driven), negative/security testing, and CI quality gates.
Build custom AI search monitoring tools for competitive AEO analysis. Covers API access, scraping architecture, legal compliance, and cost estimation.
Open‑source SDK for building and orchestrating single or multi‑agent systems with LLMs and tool integration.
Airtable integration for AI-powered applications via Anthropic's Model Context Protocol (MCP). Connect your AI tools directly to Airtable for seamless data access and management.
Freshness cards stay readable; re-review records and profile resources stay linked here.
Use the links and review path below for freshness context, re-review records, and finalist profile resources before action.