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Make the AI coding decision measurable.

Small, transparent tools for choosing a workflow, planning a private deployment, and evaluating whether an AI coding pilot created real engineering value.

T-01 / Infrastructure planning

Self-hosting capacity calculator

Turn expected concurrent development environments and workload size into a transparent CPU, memory, and storage planning baseline.

Open free tool →T-02 / Category selection

AI coding tool selector

Compare autocomplete, IDE or CLI agents, and managed AI development platforms using your actual workflow requirements.

Open free tool →T-03 / Pilot evaluation

AI coding pilot scorecard

Score a pilot across outcome quality, reviewer effort, reliability, security, adoption, and operating cost.

Open free tool →T-04 / Cost modeling

Self-hosting TCO estimator

Price a self-hosted MonkeyCode capacity baseline with your own compute, memory, storage, and model rates for a transparent monthly and annual estimate.

Open free tool →T-05 / License review

AGPL-3.0 obligation navigator

Answer four deployment questions to surface the AGPL-3.0 obligation areas to review with qualified counsel before running or distributing MonkeyCode.

Open free tool →

Method: These tools expose their assumptions and produce planning guidance, not benchmarks, guarantees, security certification, or production sizing. New to the vocabulary? Start with the AI development glossary.