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Claude Architect · Lesson

Interactive vs Headless

Conversational sessions vs scripted, non-interactive runs.

Interactive vs Headless is a free Claude Architect lesson on CoddyKit — lesson 2 of 4. You can read the complete lesson below for free — then practise it hands-on in the browser with a built-in code editor and a 24/7 AI tutor. It is part of the Claude Architect learning path, one of 4 lessons in the course, and your progress syncs across the web and the CoddyKit app.

Two Ways to Run Claude Code

Claude Code runs in two fundamentally different modes, and choosing the right one is a real architectural decision.

  • Interactive: a conversational session. You type, Claude responds, you steer, it asks for approvals. A human is in the loop.
  • Headless (non-interactive): a single scripted invocation that runs to completion with no human present. Built for pipelines and automation.

Same engine, very different control model. This lesson shows when each one wins.

The Headless Flag

You switch into headless mode with -p (also written --print). It runs the prompt once, prints the result, and exits. No back-and-forth, no TTY required.

This is the required form for CI/CD pipelines: there is no human to answer prompts inside a build job, so an interactive session would simply hang.

# Interactive: opens a conversational session
claude

# Headless: runs once and exits (required in pipelines)
claude -p "Review the staged diff and flag correctness bugs"

Parseable Output

Interactive output is for humans to read. Headless output is for machines to parse. Use --output-format json so a downstream step can act on the result programmatically.

Pair it with a JSON Schema so the structure is guaranteed and your pipeline never breaks on free-form prose.

claude -p "List failing test files and the root cause for each" \
  --output-format json \
  --output-schema ./schemas/review.json > review.json

# A later CI step reads review.json and decides pass/fail

Who Drives the Decisions?

The deepest difference is who steers.

  • Interactive: the human course-corrects mid-task, approves edits, and resolves ambiguity by being asked.
  • Headless: no one is there to ask. The prompt must be self-contained, the success criteria explicit, and ambiguous input handled by the prompt itself, not by a follow-up question.

If your task genuinely needs a human judgment call partway through, headless is the wrong choice.

Plan Mode Is Interactive

Plan mode belongs to the interactive world. You use it for large changes, multiple possible approaches, or architectural decisions: Claude explores and proposes a plan, then waits for your approval before editing.

That approval gate is a human checkpoint. It has no meaning in a headless run, where there is no one to approve. For single-file fixes or a clear stack trace, you skip plan mode and execute directly anyway.

Headless in CI: Review on Every PR

A classic headless use case: an automated code review on every pull request. The job runs -p, emits JSON, and a script turns findings into comments or a gate.

Crucially, run this review in an isolated session so it is not biased by any generation context. Fresh-instance review beats same-session self-review, where the author keeps its own reasoning and won't challenge itself.

# .github/workflows/review.yml (step)
- name: Claude review
  run: |
    claude -p "$(cat .ci/review-prompt.md)" \
      --output-format json > findings.json
    node .ci/post-comments.js findings.json

Minimize False Positives

A headless reviewer that cries wolf gets muted. Give it explicit criteria instead of vague instructions: "flag a comment only when it contradicts the code" beats "be more precise".

When re-running on a later push, include the prior results and report only new or unfixed issues, so the same noise isn't repeated on every commit.

claude -p "Flag an issue ONLY when it changes runtime behavior or breaks a test. \
Here are last run's findings: $(cat prev-findings.json). \
Report only NEW or still-unfixed issues." \
  --output-format json

Headless Is Not the Batch API

Don't confuse a headless blocking check with the Message Batches API. They solve different problems.

  • Headless -p in CI: synchronous, returns now, gates a merge.
  • Batch API: 50% cheaper, up to a 24h window, no latency SLA, and no multi-turn tool calling.

Use Batch for non-blocking overnight jobs like reports or audits, never for a pre-merge or time-sensitive check that must answer immediately.

Sessions Belong to Interactive Work

Interactive work is conversational and resumable. --resume <name> continues a named session; fork_session branches from a shared point to try alternatives.

One caution: resumed tool results can be stale if the codebase changed since. Sometimes a fresh session seeded with a structured summary is better than resuming an out-of-date one.

# Continue a named conversation later
claude --resume refactor-auth

# Branch from a shared point to explore an alternative
# (fork_session) without disturbing the original thread

Configuration Shared by Both Modes

Both modes read the same project configuration, so a well-set-up repo behaves consistently whether a human or a pipeline invokes it.

  • ./CLAUDE.md (project-level, shared via VCS) carries standards into every run.
  • .claude/skills/ and commands give reusable, scoped behaviors.

Note: user-level ~/.claude/CLAUDE.md is personal and NOT shared via VCS, so your CI runner won't have it. Put anything the headless job depends on in the project scope.

# Headless CI relies on project-scope config, not your machine's:
#   ./CLAUDE.md          -> shared via VCS  (CI sees it)
#   .claude/skills/      -> shared via VCS  (CI sees it)
#   ~/.claude/CLAUDE.md  -> personal only   (CI does NOT see it)

A Decision Checklist

When picking a mode, ask:

  • Is a human present to approve and steer? Yes -> interactive. No -> headless.
  • Does a script need to parse the result? Yes -> headless with --output-format json.
  • Is it a blocking, time-sensitive check? Use synchronous headless, not Batch.
  • Large or architectural change needing approval first? Interactive plan mode.
  • Automated PR review? Headless, isolated session, explicit criteria.

Match the mode to who is in the loop and what consumes the output.

Quick Check

Apply what you've learned to a realistic pipeline decision.

Recap: Interactive vs Headless

Key takeaways:

  • Interactive = conversational, human-in-the-loop; supports plan mode approvals and resumable/forkable sessions.
  • Headless = -p/--print, runs once and exits; required for CI/CD where no human is present.
  • Add --output-format json (plus a schema) for machine-parseable results.
  • Automated review should run in an isolated session with explicit criteria, reporting only new/unfixed issues.
  • Both modes share project-scope config (./CLAUDE.md, .claude/), but not personal ~/.claude config.
  • Headless blocking checks are NOT the Batch API: Batch is cheaper but has no latency SLA and no multi-turn tool calling.

Frequently asked questions

Is the “Interactive vs Headless” lesson free?

Yes — the full text of “Interactive vs Headless” is free to read here on the web, and the Claude Architect course includes 4 lessons in total. To practise it interactively (a built-in code editor and a 24/7 AI tutor) and unlock the rest of the Claude Architect course, upgrade to CoddyKit PRO.

What will I learn in “Interactive vs Headless”?

Conversational sessions vs scripted, non-interactive runs. You practise Claude Architect with hands-on code you run directly in the browser, and a 24/7 AI tutor answers your questions as you work through the lesson.

Do I need any experience to start Claude Architect?

No prior experience is required. Claude Architect on CoddyKit is structured for beginners through advanced learners; this is — lesson 2 of 4, so you can start here or from the beginning and move at your own pace.

How long does the “Interactive vs Headless” lesson take?

Most CoddyKit lessons take about 5–10 minutes. Each one is bite-sized and interactive, so you make steady progress and pick up exactly where you left off across the web and the app.

Can I write and run code in this Claude Architect lesson?

Yes. Every Claude Architect lesson includes a built-in code editor, so you write and run real code right in your browser and get instant AI feedback — no local setup required.

All lessons in this course

  1. What Is Claude Code
  2. Interactive vs Headless
  3. The Read / Edit / Write Loop
  4. Memory & Compact Commands
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