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Codag

Visualize and share LLM workflows in VS Code

Details

External ID
46888593
Source
HN
Company
—
Product
Codag
Website domain
github.com
Launched
Feb. 4, 2026
Cohort
—
Upvotes
6
Upvotes percentile
0.28099730458221023
Tags
—
Fetched at
Sept. 7, 2026, 9:26 p.m.
Updated at
Sept. 7, 2026, 9:26 p.m.

Description

I built Codag because I kept getting lost in my own AI code.You're chaining 3 LLM calls across 5 files. A prompt change breaks something downstream. Which call? Which branch? You grep for "openai.chat", open 8 tabs, trace the flow manually.Codag automates this: - Point it at your codebase and it extracts every LLM call, decision branch, and processing step - Renders an interactive and shareable DAG with clickable nodes that link back to source - Live updates as you edit using tree-sitter — no waiting for re-analysisSupports OpenAI, Anthropic, Gemini, LangChain, LangGraph, CrewAI, and more. Works with Python, TypeScript, Go, Rust, Java, and more.It's a VS Code extension + self-hosted backend (Gemini 2.5 Flash for analysis). Open source, MIT licensed.

Enrichment

Theme
AI agent frameworks and developer tools
Vertical
Horizontal
Function
Dev tools
Audience
Developer
AI stance
AI feature
Project type
Commercial product
Normalized one-liner
visualize and share llm workflows
Manually corrected
False

Could you build this?

Yes Parsing local files (using ASTs or regex) to detect LLM SDK calls and visualizing them inside a VS Code webview/extension is a classic vibe-coding project.

Discussion

1 comment analyzed.

Competitors

Other products that read as similar to this one — 113 launches clear the similarity bar, closest 8 shown.

Attention rank: #94 of 114 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 90 days after the earliest competitor.

Other launches for this product

Same idea, different domain

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