How much does Continue cost and what are its key features?

Continue costs $29/month for a subscription. Key features include source-controlled AI checks on every pull request, AI-enforced standards decided by humans, quality control that scales with your team, and a focus on consistency and design rather than extensive reviewing.

Is Continue suitable for agile software development teams?

Yes, Continue is best for software development teams, startups looking to scale, and agile project managers. Its AI-driven code suggestions and automated quality checks integrate seamlessly into agile workflows, helping teams maintain high standards and accelerate development cycles.

Continue

AI code review assistant for faster PR merges

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Shyft Score

Directory quality rating

Verified

70/100

Active

Found in 1 source

Our take

The verdict on Continue

AI-generated

Continue automates code review with AI suggestions to catch issues faster and maintain quality standards. Best for teams prioritizing velocity without sacrificing code quality.

Strengths

Streamlines deployment process
Faster code shipping
Efficient workflow

Limitations

May not integrate with all workflows
Limited customization
Requires learning curve

Best for: Development teams focused on rapid deployment and efficiency

Request a demo to evaluate Continue for your team.

See how Continue fits your stack

Benefits

Why teams choose Continue

Reduce code review time by getting instant AI feedback on every pull request

Maintain consistent code quality standards across your entire development team

Ship features faster with automated quality checks that catch issues before human review

Focus more time on creative problem-solving instead of repetitive code review tasks

About

What is Continue?

Continue provides AI-driven code suggestions and reviews for pull requests, helping engineering teams enforce quality standards and ship faster. It integrates into existing workflows to automate code quality checks.

Key capabilities

Source-controlled AI checks on every pull request

Enforce engineering standards as automated checks

Suggested fixes for code that misses the mark

Native GitHub status checks integration

Anti-Slop checks

Code Security Review checks

At a glance

What you can do with Continue

Enforce engineering standards in pull requests

Automate code quality checks

Prevent sloppy code with AI checks

Ensure security compliance in code changes

Best for

Software development teamsStartups looking to scaleAgile project managers

Pricing

Continue pricing

Compare Continue plans and find the right fit for your team

Continue Pricing & Plans

Compare all Continue pricing tiers to find the right plan for your team

Starter

$$3 / million tokensper month

Create and run AI agents
Connect integrations like Slack, Sentry, and Snyk
Buy credits for frontier models

Team

$$20 / seat / monthper month

Everything in Starter, plus:
Manage and share private agents across your team
Control which agents your team can use
Gmail/GitHub SSO login

Company

$Custom pricingper month

Everything in Starter & Team, plus:
Custom SSO with SAML or OIDC
Bring your own API keys (BYOK)
Commitment, invoicing, and SLA

Ecosystem

Connected ecosystem

MCP servers, AI skills, and integrations that work with Continue

MCP servers

Use Continue with AI agents via these MCP servers

mcpm.sh

CLI MCP package manager & registry for all platforms and all clients.

npx 928

StarryDivineSky

Discover over 10,000 curated projects in machine learning and beyond!

931

context sync

Local persistent memory store for LLM applications including continue.dev, cursor, claude desktop, and more.

npx 122

life sciences

Access specialized life sciences tools directly within Claude Code.

Officialpip 308

toolhive studio

Easily deploy and manage MCP servers securely with ToolHive.

npx 120

Browse all MCP servers

Integrations

GitHubGitHub Actions

FAQs

Frequently asked questions

Common questions about Continue and its capabilities

Continue is an AI-driven tool that provides code suggestions for pull requests. It enforces human-decided standards through AI checks on every pull request, ensuring consistency and quality control. This allows development teams to focus more on designing and less on manual reviewing.