--- title: This Fixes the #1 Problem With Coding Agents | Build a... description: A long-form build tutorial walks through creating Cardograph, a tool that parses a GitHub repository into a clickable dependency graph so developers can see... canonical: https://daily.dev/posts/this-fixes-the-1-problem-with-coding-agents-build-a-full-stack-codebase-architecture-app--jx7vo7ayk twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: This Fixes the #1 Problem With Coding Agents | Build a Full Stack Codebase Architecture App. | daily.dev og:description: A long-form build tutorial walks through creating Cardograph, a tool that parses a GitHub repository into a clickable dependency graph so developers can see... og:url: https://daily.dev/posts/this-fixes-the-1-problem-with-coding-agents-build-a-full-stack-codebase-architecture-app--jx7vo7ayk og:image: https://api.daily.dev/og/posts/JX7Vo7AyK.png og:image:alt: This Fixes the #1 Problem With Coding Agents | Build a Full Stack Codebase Architecture App. 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. # This Fixes the #1 Problem With Coding Agents | Build a Full Stack Codebase Architecture App. **[JavaScript Mastery](https://daily.dev/sources/javascriptmastery)** · 176 min read · 3 upvotes · 0 comments ## Summary A long-form build tutorial walks through creating Cardograph, a tool that parses a GitHub repository into a clickable dependency graph so developers can see what breaks when they change a file. The video argues that the real problem with AI-generated code isn't bad code but code nobody reads because agents write too much too fast, and demonstrates a spec-build-check workflow using Claude Code, Next.js, TypeScript, TS Morph for parsing, React Flow for visualization, Clerk for multi-tenant auth, Supabase with row-level security, and LangSmith for scoring AI outputs against ground-truth answers derived from the parsed code. Each phase (auth, workspace/RLS, parser, canvas visualization) is driven by a written spec file and reviewed via CodeRabbit before merging, with the author promoting an associated paid course and free 'skills' files alongside the tutorial. ## 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 verify an AI agent's answers about a codebase instead of just trusting its output? Ground the AI's answers in data from a real parser rather than letting it guess or summarize. By parsing actual imports and file dependencies into a graph, any claim the AI makes about which files connect can be checked against the real parsed list instantly, removing the need for a judgment call or a second AI acting as grader. _Developers building trustworthy AI features can find similar verification approaches discussed on daily.dev._ ### What tools are used to build a codebase visualization tool with Claude Code? A Next.js and TypeScript app uses TS Morph to parse code into import/export relationships, React Flow to render the resulting dependency graph, Clerk for multi-tenant team authentication with organizations, Supabase with row-level security for data storage, LangSmith to trace and score AI responses, and CodeRabbit to review agent-written pull requests before merging. _Developers piecing together an AI-agent build stack can track tool combinations like this on daily.dev._ ### How do you keep an AI coding agent's output accountable instead of just reading the code it produces? Record every model call with its input, output, and cost, build a set of questions with already-known correct answers, and score the agent's responses against that set so that changing a prompt or swapping models produces a measurable number instead of a subjective feeling. This turns silent quality drift into something detectable rather than something that just feels fine every time. _Teams relying on coding agents daily can follow evaluation techniques like this via daily.dev._ ## Similar posts on daily.dev - [Your Coding Agents Are Only as Good as Their Feedback Loop](https://daily.dev/posts/your-coding-agents-are-only-as-good-as-their-feedback-loop-lkobdwt1q) · Atomic Spin · 1 upvotes · 0 comments - [Medium](https://daily.dev/posts/medium-7efociuwx) · Medium · 0 upvotes · 0 comments --- Tags: [#ai-agents](https://daily.dev/tags/ai-agents), [#nextjs](https://daily.dev/tags/nextjs), [#claude-code](https://daily.dev/tags/claude-code), [#supabase](https://daily.dev/tags/supabase), [#langsmith](https://daily.dev/tags/langsmith) [View this post on daily.dev](https://daily.dev/posts/this-fixes-the-1-problem-with-coding-agents-build-a-full-stack-codebase-architecture-app--jx7vo7ayk) ```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":"This Fixes the #1 Problem With Coding Agents | Build a Full Stack Codebase Architecture App.","url":"https://daily.dev/posts/this-fixes-the-1-problem-with-coding-agents-build-a-full-stack-codebase-architecture-app--jx7vo7ayk","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/this-fixes-the-1-problem-with-coding-agents-build-a-full-stack-codebase-architecture-app--jx7vo7ayk"},"datePublished":"2026-10-02T14:17:30.249Z","dateModified":"2026-10-02T14:17:51.672Z","description":"A long-form build tutorial walks through creating Cardograph, a tool that parses a GitHub repository into a clickable dependency graph so developers can see...","image":"https://i.ytimg.com/vi/-AkIj8TG3Uc/sddefault.jpg","thumbnailUrl":"https://i.ytimg.com/vi/-AkIj8TG3Uc/sddefault.jpg","isAccessibleForFree":true,"articleSection":"JavaScript Mastery","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"JavaScript Mastery","logo":"https://media.daily.dev/image/upload/s--i6Ls5Q5_--/f_auto/v1724338715/logos/javascriptmastery","url":"https://daily.dev/sources/javascriptmastery"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/this-fixes-the-1-problem-with-coding-agents-build-a-full-stack-codebase-architecture-app--jx7vo7ayk","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":3},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"ai-agents,nextjs,claude-code,supabase,langsmith","timeRequired":"PT176M","video":{"@type":"VideoObject","name":"This Fixes the #1 Problem With Coding Agents | Build a Full Stack Codebase Architecture App.","description":"A long-form build tutorial walks through creating Cardograph, a tool that parses a GitHub repository into a clickable dependency graph so developers can see...","thumbnailUrl":"https://i.ytimg.com/vi/-AkIj8TG3Uc/sddefault.jpg","uploadDate":"2026-10-02T14:17:30.249Z","duration":"PT176M","url":"https://api.daily.dev/r/JX7Vo7AyK","embedUrl":"https://www.youtube.com/embed/-AkIj8TG3Uc"}} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"JavaScript Mastery","item":"https://daily.dev/sources/javascriptmastery"},{"@type":"ListItem","position":3,"name":"This Fixes the #1 Problem With Coding Agents | Build a Full Stack Codebase Architecture App."}]} {"@context":"https://schema.org","@type":"FAQPage","@id":"https://daily.dev/posts/this-fixes-the-1-problem-with-coding-agents-build-a-full-stack-codebase-architecture-app--jx7vo7ayk#faq","mainEntity":[{"@type":"Question","name":"How can I verify an AI agent's answers about a codebase instead of just trusting its output?","acceptedAnswer":{"@type":"Answer","text":"Ground the AI's answers in data from a real parser rather than letting it guess or summarize. 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