--- title: The Multi-Agent Code Review Workflow For My Production... description: A workflow walkthrough for building a multi-agent AI code review pipeline inside Android Studio, aimed at supplementing (not replacing) manual review. The... canonical: https://daily.dev/posts/the-multi-agent-code-review-workflow-for-my-production-android-apps-lo17qngyo twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: The Multi-Agent Code Review Workflow For My Production Android Apps | daily.dev og:description: A workflow walkthrough for building a multi-agent AI code review pipeline inside Android Studio, aimed at supplementing (not replacing) manual review. The... og:url: https://daily.dev/posts/the-multi-agent-code-review-workflow-for-my-production-android-apps-lo17qngyo og:image: https://api.daily.dev/og/posts/Lo17QnGYO.png og:image:alt: The Multi-Agent Code Review Workflow For My Production Android Apps og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # The Multi-Agent Code Review Workflow For My Production Android Apps **[Philipp Lackner](https://daily.dev/sources/philipplackner)** · 29 min read · 0 upvotes · 0 comments ## Summary A workflow walkthrough for building a multi-agent AI code review pipeline inside Android Studio, aimed at supplementing (not replacing) manual review. The setup uses a skip-checker agent to filter irrelevant diffs, three parallel specialized review agents (bug, convention, security), an issue validator to grade findings as blocking/major/minor, and a verify-audit agent that attaches proof to each finding before anything reaches a fixing agent. The author demonstrates this on a production Android app with zero-knowledge authentication, showing real findings like an incomplete email verification flow, a hardcoded placeholder email, a notification permission bug, and a device-configuration edge case. Also covered: choosing frontier models per sub-agent (Haiku for cheap triage, Opus for bug-finding, Sonnet for conventions), tradeoffs between API billing and subsidized subscription plans like Claude Max/Pro for teams, and a technique of re-running fresh review sessions on security-critical code until no new issues surface. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Questions this post answers ### How can I set up a multi-agent AI code review workflow in Android Studio using Claude? Use an orchestrating skill that first runs a skip-checker agent to filter which changed files need review, then spawns three parallel isolated sub-agents (bug reviewer, convention reviewer, security reviewer) each with a fresh context window, followed by an issue validator that grades findings as blocking, major, or minor, and a verify-audit agent that attaches concrete proof (file, line number, rule citation) to each validated finding before it reaches a fixing agent. _daily.dev surfaces workflow breakdowns like this for developers building agentic review pipelines._ ### Why should AI code review agents run in parallel with separate context windows instead of one sequential session? Running review agents sequentially in a single session lets context grow very large, which raises the risk of hallucinations and lets earlier findings bias later ones, so agents stop reviewing independently. Isolated, parallel sub-agents each get a dedicated context window starting from scratch, keeping bug, convention, and security findings unbiased while also speeding up the review compared to sequential runs. _developers weighing agent orchestration patterns can find deeper workflow comparisons on daily.dev._ ### Which AI models work well for different roles in an automated code review pipeline? Haiku suits simple triage tasks like the skip-checker since it just needs to flag whether a file is important, while Opus is used for the bug-finding reviewer where complexity is higher. Sonnet works for convention review since spotting known conventions is less complex once the rules are defined, and Opus is also used for security review and issue validation for reliability. _engineers picking model tiers per task can track these tradeoffs alongside daily.dev's developer content._ ## Similar posts on daily.dev - [An Optimized Agentic Android Development Workflow](https://daily.dev/posts/an-optimized-agentic-android-development-workflow-tgmzigta4) · Atomic Spin · 1 upvotes · 0 comments --- Tags: [#android](https://daily.dev/tags/android), [#claude-code](https://daily.dev/tags/claude-code), [#code-review](https://daily.dev/tags/code-review) [View this post on daily.dev](https://daily.dev/posts/the-multi-agent-code-review-workflow-for-my-production-android-apps-lo17qngyo) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"The Multi-Agent Code Review Workflow For My Production Android Apps","url":"https://daily.dev/posts/the-multi-agent-code-review-workflow-for-my-production-android-apps-lo17qngyo","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/the-multi-agent-code-review-workflow-for-my-production-android-apps-lo17qngyo"},"datePublished":"2026-08-19T11:01:08.707Z","dateModified":"2026-08-19T11:01:31.972Z","description":"A workflow walkthrough for building a multi-agent AI code review pipeline inside Android Studio, aimed at supplementing (not replacing) manual review. 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