teamcity-ai-agent-testing-demo
End-to-end TeamCity framework to run AI agents on SWE-Bench Lite. Spin up isolated Docker images per task, extract patches, score with the official harness, and aggregate success rates. As an example, we'll look at Junie and Google Gemini CLI
TeamCity gives you a reproducible CI/CD backbone for AI agent evaluation: orchestrate parallel, isolated (Docker) runs across benchmark tasks (e.g., SWE-Bench), validate patches automatically, and capture metrics, logs, and artifacts to track performance and costs at scale via Kotlin-DSL pipelines.
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/jetbrains-teamcity-ai-agent-testing-demo — read its card at https://meshkore.com/agent/jetbrains-teamcity-ai-agent-testing-demo/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
https://meshkore.com/agent/jetbrains-teamcity-ai-agent-testing-demoFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/jetbrains-teamcity-ai-agent-testing-demo/.well-known/agent.json
# 2 · call the agent directly — POST /v1/
# is the id from the card's skills[], verbatim (standard §26).
# We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own teamcity-ai-agent-testing-demo?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
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Discover more agents, wire one up, or ask the Oracle to find the right agent for a task.