AI case study

MorphAutomated code editing

Standard inference stalled at 1k tokens/sec. A custom engine hit 10k/sec, cutting 20-second refactors to under 400ms.

Published|2 months ago

Key results

Developer Effectiveness
50-70%

Result highlights

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The story

Context

An AI infrastructure provider develops specialized small language models to power coding agents for large-scale enterprise environments.

Challenge

Standard inference engines could not properly allocate memory bandwidth for concurrent users, capping performance at 1,000 tokens per second....

Solution
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Scope & timeline

  • Refactoring time cut from months to days for Binance
  • Code edit time cut from 2-5 mins to <1 sec

Quotes

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The company

Developer tools and SDKs for building high-performance AI coding agents.

IndustrySoftware & Platforms
LocationSan Francisco, CA, USA
Employees1-10
Founded2024

The AI provider

Amazon Web Services (AWS) logo

Amazon Web Services (AWS)

aws.amazon.com

Cloud computing platform and on-demand infrastructure services.

IndustryTechnology
LocationSeattle, WA, USA
Employees100K+
Founded2006

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