# Quonfig

> Quonfig is a feature-flag and configuration platform that stores config as JSON files in real git repositories instead of a database. Backend SDKs evaluate flags locally in-process (sub-millisecond, no network call), every change is a reviewable git commit with author/diff/timestamp, and you can clone your workspace anytime. Built for the age of AI-written code, where agents create flags far faster than humans retire them.

## Product

- [Feature flags](https://quonfig.com/features/feature-flags): Git-native feature flags. Backend SDKs download full config and evaluate every check locally in-process; changes propagate via SSE in about a second.
- [Dynamic config](https://quonfig.com/features/config): Typed dynamic configuration values stored as JSON in git, changed without a deploy and targeted by cohort.
- [Dynamic log levels](https://quonfig.com/features/log-levels): Change log verbosity at runtime per user or environment, no redeploy, through the same targeting engine.
- [Secret management](https://quonfig.com/features/secrets): Zero-knowledge secrets — encrypted locally with a key you hold; Quonfig never sees the plaintext.
- [AI prompts as config](https://quonfig.com/ai-prompts): Store LLM prompts in Quonfig, version them in git, change them without a deploy, target by cohort, and run `qfg generate` to emit type-safe TypeScript render functions from Mustache templates.
- [For AI agents](https://quonfig.com/agents): Git-native files plus the scriptable `qfg` CLI and OpenFeature give agents a clean, auditable surface for the full flag lifecycle.
- [For developers](https://quonfig.com/developers): Nine native SDKs (Node, Go, Ruby, Python, .NET, Java, Browser JavaScript, React, React Native) and seven OpenFeature providers.
- [Pricing](https://quonfig.com/pricing): Fully public, transparent pricing with a live calculator — roughly 10x cheaper than the major platforms at scale. Free seats and a free open-source mode.

## Docs

- [Documentation](https://docs.quonfig.com): SDK guides, CLI reference, and configuration concepts.
- [Why Quonfig](https://quonfig.com/why): The thesis — why git-native config matters when AI agents write most of your code.

## Compare

- [Quonfig vs LaunchDarkly](https://quonfig.com/vs/launchdarkly): Git-native storage and local evaluation versus a proprietary database.
- [Quonfig vs Flagsmith](https://quonfig.com/vs/flagsmith): Both have open-source roots; Quonfig stores flags as git files rather than in Postgres.
- [Quonfig vs Unleash](https://quonfig.com/vs/unleash): Comparison of delivery models and storage.
- [Quonfig vs ConfigCat](https://quonfig.com/vs/configcat): Comparison of pricing and SDK breadth.
- [Quonfig vs Flipt](https://quonfig.com/vs/flipt): Comparison of git-native approaches to flag storage.
- [Migrate](https://quonfig.com/migrate): Import flags, config, segments, targeting rules, and change history (as git commits) from your current platform.

## Blog

- [Blog](https://quonfig.com/blog): Engineering posts on feature flags, dynamic config, dynamic logging, and the flag lifecycle in the age of AI-written code.