Coding

Build fast, responsive coding agents with industry-leading inference performance — high throughput, low latency, and reliable code generation at scale.

problem

Latency kills the flow state

Uneven token streaming disrupts the coding rhythm

Erratic delivery creates a jarring experience during coding, inline chat, refactors, and docstring generation.

Slow response starts interrupt developer flow

Coding assistants need fast, predictable response times. Delays in autocomplete and inline generation quickly become frustrating.

Broken tool call responses

Coding agents fail to invoke external tools when tool call responses are dropped or malformed.

Switching files breaks context continuity

Changing context mid-session produces delayed, inconsistent suggestions.

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solution

FriendliAI's ultra-low latency keeps developers in flow

Low-jitter token streaming

Streaming is engineered for smoothness and predictability. Every token arrives at a consistent pace without stalls or bursts.

Fast response starts

Low time-to-first-token helps coding assistants feel responsive, so autocomplete and inline suggestions begin quickly and keep developers in flow.

Tool call reliability

OpenAI-compatible tool calling schema and structured outputs are enforced at the serving layer.

Stable multi-file context handling

Memory-efficient KV cache management maintains coherent context across file switches.

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Open models are made to code

The best open coding models for agents, generation, and completions — served fast on FriendliAI.

Have a custom or fine-tuned model?

We'll help you deploy it just as easily. Contact us to deploy your model.

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How teams scale with FriendliAI

Learn how leading companies achieve unmatched performance, scalability, and reliability with FriendliAI

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Our custom model API went live in about a day with enterprise-grade monitoring built in.

Rock-solid reliability with ultra-low tail latency.

Scale to trillions of tokens with 50% fewer GPUs, thanks to FriendliAI.

Fluctuating traffic is no longer a concern because autoscaling just works.

Friendli Engine is an irreplaceable solution for generative AI serving.

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