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DeezerVictoria Alajemba6 min readintermediate

Workflow or agent? What building QAradar taught us

Read on medium.com

Summary

Deezer built QAradar, a workflow‑driven Slack‑bot that lets developers discover and run the exact automated tests covering their feature. By pre‑generating a clean test catalog and keeping the LLM in a fixed four‑step workflow, they avoided the complexity and cost of a full‑blown agent while dramatically reducing knowledge silos and friction for QA and developers.

  • Name the architecture honestly: most “agents” are better implemented as simple, deterministic workflows.
  • Integration points dictate what an AI‑augmented tool can actually do; system access is the real limiter, not model intelligence.
  • Meet developers where they already work (e.g., Slack/Chat) to ensure adoption; a tool hidden in a new UI is ignored.
  • Ship a limited, scheduled workflow first to prove value before attempting more autonomous, agent‑style capabilities.

Developer productivity and test reliability suffer when knowledge about existing automated tests is locked in QA silos. QAradar democratizes that knowledge, cuts down on back‑and‑forth queries, and frees QA engineers to focus on higher‑value work, illustrating a pragmatic path to AI‑assisted toolin…

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