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Amp agent modes complete tasks 40% faster

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Amp agent modes complete tasks 40% faster
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// 2h agoPRODUCT UPDATE

Amp agent modes complete tasks 40% faster

Sourcegraph has optimized its AI coding agent, Amp, in its deep and rush modes, achieving 87% faster first-token arrival and 32% faster overall responses. By adopting long-lived OpenAI WebSockets and durable execution, the system reduces hops between client and GPU to yield up to a 40% end-to-end speedup on long-horizon tasks.

// ANALYSIS

AI coding agents are heavily bottlenecked by API round-trips; by transitioning to WebSockets and durable execution, Amp showcases that network infrastructure is as critical as raw model speed for developer experience.

* Durable execution ensures that long-running agent threads are resilient and maintain state across multi-turn interactions.

* Replacing HTTP SSE with OpenAI WebSockets reduces latency overhead, which accumulates dramatically over long-horizon tasks.

* Eliminating unnecessary hops between the client and GPU highlights the trend of moving agent execution logic closer to the inference engine.

// TAGS
ai-agentscoding-toolswebsocketsdurable-executionperformancesourcegraphopenai

DISCOVERED

2h ago

2026-06-05

PUBLISHED

2h ago

2026-06-05

RELEVANCE

7/ 10

AUTHOR

AmpCode