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DAG Orchestration — Manhattan Subway Map

Domain 1 · 27% ~12 min English narration

Scenario anchor

Aaranya IT ke ek large BFSI client ke liye — ek multi-agent code-review pipeline build ho raha tha. Aap ne saat agents deploy kiye: static analysis, security scan, license check, test generation, coverage validation, PR summary, aur compliance tagging. Pehle sprint mein sab kuch parallel chalaya — aur coverage agent ne un tests pe run kiya jo test-generation agent ne abhi generate hi nahi kiye the. Result? Silent failures, wrong compliance tags, aur ek very unhappy client audit. Is lesson mein aap dekhenge ki DAG orchestration ke saath proper inter-node contracts kaise define karte hain — taaki dependency order enforce ho, output schemas validate hon, aur koi downstream agent incomplete input pe kabhi execute na kare.

Key Takeaways

Every DAG edge is a contract: define an explicit JSON schema for each node's output, and validate it before any downstream node is unblocked — treat this exactly as you would a service-mesh inter-service SLA.
Topological sort is non-negotiable: derive execution order from declared dependencies, never from assumed arrival timing or manual sequencing — this is the guarantee that eliminates the Aaranya IT BFSI coverage-before-generation failure class.
Idempotent node design enables safe retries: each agent node must produce identical outputs for identical inputs so that partial DAG re-execution after a contract violation does not introduce side effects in already-completed upstream nodes.
Memory anchor — recite under exam pressure: 'DAG orchestration equals schema-validated API gateway — every edge is a typed contract, every node is a versioned service endpoint.'

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