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Best agent for distributed systems

Concurrency, consistency, queues, caching, scaling and failure handling across services.

Leader

Clear lead

Claude Fable 5.1

Index

96

Lead

+4.0

% ahead

4.3%

over Claude Opus 5.5.

Full ranking

Task index, 0 to 100. Bars are scaled to the field, so small gaps look small.

  1. 1
    Claude Fable 5.1
    96

    Best at reasoning through failure modes.

  2. 2
    Claude Opus 5.5
    −4.092

    Nearly as strong at a lower price.

  3. 3
    GPT-6 Astra
    −5.091

    Excellent formal reasoning about consistency.

  4. 4
    Gemini 4 Argon
    −8.088

    Good with very large architecture docs.

  5. 5
    GPT-6.1 Sol
    −9.087

    Solid for design discussions.

Key takeaways
  • 1Fable 5.1 leads: these problems reward deep, careful reasoning.
  • 2Agents are great at analysis and design reviews; be cautious with autonomous changes.
  • 3Always ask for failure scenarios explicitly.

Recommended setup

Use a frontier model as a design reviewer with architecture docs, traces and incident history; apply changes through normal PR review.

Prompts that work

Failure-mode review

Here is our architecture: {{doc}}. List the ten most likely failure scenarios under partitions, retries, clock skew and partial outages. For each: trigger, blast radius, detection, and the smallest design change that prevents it.

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