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DexCode

Parallel Editing

Edit multiple slides simultaneously using AI agent subprocesses for faster iteration.

What is Parallel Editing?

Parallel editing is DexCode's core differentiator. Instead of revising slides one at a time, you can assign edits to multiple slides simultaneously. Your AI agent spawns subagents — one per slide — that work concurrently.

How It Works

When you prompt an agent like Claude Code with a batch edit instruction, it:

  1. Identifies which slides need changes
  2. Spawns a subagent for each target slide
  3. Each subagent edits its assigned MDX file independently
  4. Hot reload updates the browser preview as each file is saved
bash
> Update slides 3, 5, and 8 in parallel:
  - Slide 3: Replace the bullet list with a comparison table
  - Slide 5: Add a pie chart showing market share data
  - Slide 8: Tighten the copy and improve visual hierarchy

Benefits

Traditional WorkflowParallel Editing
Edit slide 3, wait, reviewAll 3 slides edited simultaneously
Edit slide 5, wait, reviewReview all changes at once
Edit slide 8, wait, reviewSingle review cycle
~15 minutes~5 minutes

Best Practices

Be Specific

Give clear, actionable instructions for each slide:

bash
# Good — specific and actionable
> Slide 4: Replace "We're growing fast" with actual metrics.
  Use the revenue numbers from Q2: $1.2M ARR, 45% QoQ growth.
 
# Less effective — vague
> Make slide 4 better

Group related edits into a single parallel request:

bash
> For slides 2-6, apply consistent styling:
  - Use the company's brand colors
  - Ensure all charts use the same color palette
  - Standardize heading sizes

Use AI Micro-Tuning

For final polish, delegate spacing, wording, chart labels, and visual details to AI with precision prompts:

bash
> On slide 7:
  - Align the chart axis labels to the grid
  - Reduce the padding between the title and subtitle
  - Make the footnote text 12px and 60% opacity

AI micro-tuning lets you ask AI to improve tone, hierarchy, spacing, and chart readability with precision prompts — achieving high-quality finishing touches without manual pixel-pushing.