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Continue

AI checks that enforce code standards on every pull request

Continue runs source-controlled AI checks on pull requests and reports results as GitHub status checks. It’s aimed at engineering teams that want automated review for specific standards, with humans still deciding whether to accept suggested fixes.

API
B2B
For Developers
Cloud Hosted
Copilot (Human-in-Loop)
For Teams
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About

What It Is

Continue is an AI code quality tool for software teams. It focuses on running predefined checks against pull requests, then surfacing the result as a native GitHub status check with a suggested fix when something fails.

What to Know

Continue is more of an AI-assisted code review workflow than a fully autonomous agent. It can evaluate PRs, flag issues, and suggest fixes, but the decision to accept or reject those fixes stays with humans. That makes it useful for enforcement and...

Key Features
Runs AI checks on pull requests
Shows results as GitHub status checks
Uses markdown files in the repo to define checks
Supports suggested fixes when a check fails
Can run checks locally
Use Cases
Enforcing security review rules on every pull request
Checking PRs for coding standards before merge
Automating repetitive review comments for engineering teams
Agenticness: Guided Assistant

Executes tasks you assign, one step at a time, within narrow domains.

High evidence
Last evaluated: Mar 28, 2026

Dimension Breakdown

Action Capability
Autonomy
Adaptation
State & Memory
Safety
How agenticness works →

Categories

Engineering & DevTools
Pricing

Pricing not publicly available.

Details
continue.dev
AddedJanuary 22, 2026
RefreshedMarch 28, 2026
Agenticness
Guided Assistant
Quick Facts
DeploymentCloud-hosted
AutonomySemi-autonomous
Model supportSingle model
Open sourceYes
Team supportSmall team
Pricing modelFreemium
Interfacegui, cli, ide, api
Sources
WebContinue • Quality control for your software factory. | Continue
WebDocumentation
Webcontinue on npm
Last updated April 3, 2026
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