LLM Orchestration

Quint-Code

Structured reasoning framework for AI code assistants with auditable evidence trails.

Status
Generally available
Last checked
Checked · Oct 16, 2026
License
Open source
Pricing
Free tier · from $0
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What it is

Quint-Code is a structured reasoning framework designed to work with Claude Code, Gemini, Cursor, and Codex. It supports hypothesis-driven decision making and maintains an auditable trail of evidence, enhancing transparency in the development process.

Quint-Code stands out by providing a structured reasoning framework that supports hypothesis-driven decision making and maintains an auditable trail, which is unique among AI code assistants.

When it fits — and when it doesn’t

A good fit for

  • Developers who need to maintain a clear and auditable trail of evidence in their development process.

  • Teams working on projects that require detailed reasoning trails for decisions made by AI code assistants.

  • Projects where hypothesis-driven decision making is critical.

Look elsewhere if

  • Users looking for a cloud-hosted solution without the need to self-host.

  • Developers who do not require an auditable trail of evidence in their development process.

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

  1. 01

    Limited integrations with non-Python environments

    Primary support for Python, limited official SDKs for other languages

What it does well

  • Structured reasoning framework for AI code assistants.

  • Supports hypothesis-driven decision making.

  • Maintains an auditable trail of evidence.

  • Integrates with multiple AI code assistants like Claude Code, Gemini, Cursor, and Codex.

Pricing

Free tier
YesOpen source — free to use
Paid from
$0
Model
Flat rate
Enterprise plan
No

Pricing not independently confirmed — check the vendor’s page.

Performance benchmarks

How Fast Is It?

Set up Quint-Code

Setup steps, common gotchas and what to check after 30 days.

Open the setup guide →
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