A practical guide to automating ~90% of code style enforcement by combining Continue.dev (an open-source AI IDE assistant) with GitHub Actions. The approach involves writing machine-readable Markdown style rules in `.continue/rules/`, giving developers real-time LLM-powered feedback in their editor, and building a two-layer CI pipeline: traditional linters (ESLint, Prettier) for deterministic checks, plus a Node.js script that sends PR diffs and style rules to an LLM (GPT-4o) and posts structured inline review comments via the GitHub API. The article covers the full implementation including workflow YAML, the review script, prompt engineering for low false positives, gradual rollout strategy, cost management, and metrics to track impact.
Table of contents
How to Automate Style Guide Enforcement with Continue.dev and GitHub ActionsTable of ContentsThe Code Review Bottleneck ProblemWhat Is Continue.dev and Why It Fits This WorkflowDefining Your Style Guide as Machine-Readable RulesReal-Time Enforcement in the EditorBuilding the CI Pipeline for PR-Level EnforcementTuning for Accuracy: Reducing False PositivesMeasuring the ImpactPitfalls and Practical AdviceFrom Style Cops to Strategy PartnersSort: