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.

Agenticness = how independently a tool can take action, scored across 9 dimensions. Scored independently by David Kooi, Skylark Creations — see full rubric →

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API

B2B

For Developers

Cloud Hosted

Copilot (Human-in-Loop)

For Teams

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Recent activity

What's happened with Continue lately

May 23, 2026
Score change
Rubric upgrade v3_0 → v3.1: score 6/32 → 10/366 → 10/36(+4)
Rubric upgrade: agenticness v3.0 (8 dims, /32) → v3.1 (9 dims, /36). Adds Dim 9 (Operator Sovereignty), splits Dim 6 into 6a/6b lenses, tightens Dim 4 autonomous-retry distinction. Not a product change — score shift reflects new dimension + recalibrated rubric, not a change in the tool. Fanout suppressed.
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News mentions sourced from our news feed; score changes from periodic re-evaluations.

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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: May 23, 2026

Dimension Breakdown

Action Capability

Autonomy

Adaptation

State & Memory

Safety

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