AI coding tools do more than change code now. They also leave behind plans, reports, release notes, handoff docs, Mermaid diagrams, and HTML previews.
Those files are useful, but they usually land inside real project folders. That means they sit next to source code, configs, dependencies, build output, screenshots, and old drafts.
Opening one Markdown file is easy. Opening one HTML file is easy. Reviewing the whole set after an agent finishes a task is the annoying part.
This is the workflow I use when I need to turn a pile of generated files into a clear decision.
Start from the folder
Do not open random files one by one. Start from the project folder and look for the documents that changed recently.
I usually ask:
- Which Markdown and HTML files changed in this task?
- Which files look like plans, reports, summaries, or handoff notes?
- Which ones contain diagrams, tables, screenshots, or browser previews?
- Which ones are old drafts or generated noise?
That simple first pass keeps the review tied to the task. It also stops me from wasting time on a stale file just because it was the first one I noticed.
Use different tools for different moments
VS Code is still the best place to edit code. A browser is still the best quick way to open one HTML file. Finder is fine when I only need to check a file name.
The gap appears when one agent task creates several docs across a project folder.
In that moment, I do not want another editor. I want a calm reading surface:
open the folder
-> filter Markdown and HTML
-> read rendered docs
-> preview HTML safely
-> decide what to keep, fix, or ignore
That is the small job a local Markdown and HTML reader can do well.
My review flow
When a task produces several generated files, I go through them in this order:
- Open the project folder.
- Filter to Markdown and HTML.
- Read the recently modified docs first.
- Read Markdown rendered, not raw.
- Preview HTML in a controlled local view.
- Search for
TODO,TBD,draft,fix later,待确认, and similar markers. - Put each file into one bucket: keep, fix, or ignore.
The goal is not to preserve every file an agent creates. The goal is to make a human decision quickly.
What I check before sharing
Before I send an AI-generated doc to someone else, I check a few things:
- Does the doc say what decision or action it supports?
- Are code paths, dates, URLs, numbers, and product names still correct?
- Can someone scan the headings and understand the point?
- Do links, images, local references, and diagrams work?
- Does the HTML preview rely on missing or unsafe resources?
- Did the doc expose local paths, private notes, credentials, customer data, or internal-only context?
- Is the status clear: final, draft, or still waiting for confirmation?
This matters because generated docs can sound polished while still containing old names, broken links, or hidden assumptions.
When a dedicated reader helps
A dedicated reader is useful when Markdown and HTML need to be reviewed together, especially inside a code-heavy folder.
MD+HTML Reader is built for that moment. It opens local folders, filters Markdown and HTML, renders Markdown read-only, previews HTML in a sandboxed frame, and keeps recent documents close.
It is not meant to replace an editor or a browser. It is meant to make the review step quieter.
A simple rule
If I need to edit one Markdown file, I use my editor.
If I need to open one HTML file, I use my browser.
If an AI agent generated a set of Markdown and HTML files across a real project folder, I treat them as a document set and review them together.
That small change saves a surprising amount of digging.
Top comments (0)