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.
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.
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.
How teams scale with FriendliAI
Learn how leading companies achieve unmatched performance, scalability, and reliability with FriendliAI
Our custom model API went live in about a day with enterprise-grade monitoring built in.
Scale to trillions of tokens with 50% fewer GPUs, thanks to FriendliAI.
Rock-solid reliability with ultra-low tail latency.
Cutting GPU costs accelerated our path to profitability.
Fluctuating traffic is no longer a concern because autoscaling just works.
Our custom model API went live in about a day with enterprise-grade monitoring built in.
Scale to trillions of tokens with 50% fewer GPUs, thanks to FriendliAI.
Rock-solid reliability with ultra-low tail latency.
Cutting GPU costs accelerated our path to profitability.
Fluctuating traffic is no longer a concern because autoscaling just works.
Resources
Docs, demos, and resources for coding agents.
