AI Agentic Coding Orchestration

Route every coding task to the right model.

Furiwake sends each request — code generation, debugging, review, refactoring — to the optimal model and infrastructure path based on cost, latency, quality, and privacy.

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The problem with AI-assisted coding today

Engineering teams face a fragmented landscape of models, each with different strengths, costs, and trade-offs.

Too Many Models

New models drop weekly. Evaluating each one against your use case is a full-time job nobody signed up for.

Unpredictable Costs

Sending everything to the most capable model burns budget. Sending to the cheapest burns quality. Neither is a strategy.

No Single Best Answer

Code generation needs one model. Debugging needs another. Review needs a third. One-size-fits-all fails.

How it works

Step 01

Send Your Task

Submit any coding task — generation, debugging, review, refactoring, tests, docs, or agent execution — via a single API.

Step 02

Classify & Route

Furiwake analyzes task type, complexity, and your constraints (cost, latency, privacy) to select the optimal model and infra path.

Step 03

Get the Best Result

Receive high-quality output at the lowest viable cost and latency. Every request lands on the right model, every time.

Capabilities

Smart Model Routing

Automatically select the best model for each task type.

Cost Optimization

Cut inference spend without sacrificing output quality.

Latency Control

Meet strict response time targets for real-time workflows.

Privacy-Aware Routing

Keep sensitive code on private infrastructure automatically.

Multi-Task Support

Code gen, debug, review, refactor, tests, and docs — all routed.

Agent Orchestration

Coordinate multi-step agent workflows across models.

Frequently asked questions