When a parent types "should my kid learn Claude Code or Scratch?" into a search bar, they're really asking two separate questions: what will actually teach my child to think like a programmer, and what's safe and appropriate for a young learner right now? The honest answer is that these tools serve fundamentally different learning goals, and the right choice depends entirely on where your child is in their coding journey. This article walks through both platforms in depth, compares them across every dimension that matters to parents and educators, and ends with a clear, opinionated recommendation.
What Is Scratch, and Why Has It Dominated Kids' Coding for So Long?
Scratch is a visual, block-based programming environment developed by the MIT Media Lab, designed specifically to introduce young learners to the core logic of coding without requiring them to type a single line of syntax. It has been the gold standard in introductory computer science education for many years, used in schools, libraries, and after-school programs across the United States and in more than 70 countries.
The appeal is immediate and obvious. Kids drag colored blocks representing commands like "move 10 steps" or "if touching edge, bounce" and snap them together like puzzle pieces. The result is an animated sprite doing something visible and satisfying. There's no compiler error to decipher, no semicolon in the wrong place, no frustration from invisible syntax mistakes. The feedback loop is fast, positive, and fun.
Scratch teaches genuine computational thinking concepts: sequencing, loops, conditionals, variables, and event-driven logic. A child who spends several months building Scratch projects isn't just playing, they're internalizing the mental models that underpin all programming. The MIT Scratch platform also hosts a massive social community where kids share and remix projects, which creates natural motivation to keep building.
From a safety standpoint, Scratch is well-established. Parents and educators have used it for years and understand its guardrails. The community is moderated, the content is age-appropriate by design, and the platform itself introduces no AI interaction. There's no language model generating output that a child might misinterpret or misuse. For parents who are cautious about AI exposure, that's a meaningful point in Scratch's favor.
The limitation of Scratch, however, becomes apparent quickly. Once a young learner grasps the foundational logic, the block-based interface becomes a ceiling rather than a scaffold. Real-world programming doesn't work with drag-and-drop blocks. The transition from Scratch to a text-based language like Python or JavaScript requires learning an entirely new workflow, and many kids stall at that bridge. Scratch doesn't teach a child how professional software is actually built, how to read documentation, how to debug real errors, or how to collaborate on code with others. It's a runway, not a destination.
What Scratch Does Well
- Eliminates syntax barriers so the focus stays on logic
- Provides immediate visual feedback that keeps young learners engaged
- Teaches sequencing, loops, conditionals, and variables in a concrete way
- Has a large, moderated community with millions of shareable projects
- Is completely free and accessible from any web browser
- Is widely accepted in school curricula and aligns with K-12 CS standards
Where Scratch Falls Short
- Block-based logic doesn't translate directly to professional text-based coding
- The interface becomes limiting once foundational concepts are mastered
- Projects are constrained to the Scratch environment; you can't build real software
- Doesn't reflect how modern developers actually work
- Offers no exposure to AI-assisted development, which is now a core professional skill
What Is Claude Code, and What Does It Actually Teach?
Claude Code is Anthropic's agentic coding tool that allows a user to direct an AI to write, edit, run, and debug real code through natural language conversation and command-line interaction. Unlike Scratch, Claude Code doesn't simplify programming into blocks. It works inside actual development environments, produces real code in real languages (Python, JavaScript, HTML, and more), and reflects the workflow that professional software engineers use today.
According to Anthropic's official Claude Code documentation, the tool is designed to understand codebases, run terminal commands, edit files, and execute multi-step tasks autonomously. A user describes what they want to build, Claude Code writes the code, explains what it did, and iterates based on feedback. This is genuinely how a growing proportion of professional developers work today, using AI as a coding partner rather than writing every line from scratch.
For young learners, this raises an important question that every parent should sit with: is using Claude Code to build a project "real" coding, or is it just letting the AI do all the work? The answer depends entirely on how the child engages with it. If a kid simply types "build me a game" and accepts the output without reading or understanding it, that's not learning. But if a child learns to break down a problem into specific, logical instructions, reads the code Claude produces, asks follow-up questions to understand why certain choices were made, and modifies the output to meet new requirements, that is a genuinely sophisticated technical skill. The ability to direct AI precisely and productively is already a marketable professional competency.
The World Economic Forum's Future of Jobs Report identifies AI literacy and the ability to work alongside AI systems as one of the fastest-growing skill requirements across industries. Teaching young learners to use Claude Code thoughtfully, with adult guidance, isn't a shortcut around real skills. It's direct preparation for a labor market that already rewards those skills.
That said, Claude Code is not designed with children in mind. It's a professional tool. It has no built-in content filtering for young users, no simplified interface, and no guardrails specific to minors. Using it safely with kids requires intentional setup: parent supervision, customized system-level instructions (like the CLAUDE.md guardrails used in structured programs), and careful oversight of every session. Without that structure, Claude Code is the wrong choice for unsupervised youth use.
What Claude Code Does Well
- Produces real, working code in real languages, not simplified simulations
- Teaches children to think in structured, logical, precise language
- Reflects actual professional development workflows
- Allows kids to build things that exist outside a proprietary platform: websites, apps, games, scripts
- Develops AI literacy alongside coding literacy, two skills that go together in modern tech
- Scales with the learner's ambition, there's no ceiling imposed by the tool itself
Where Claude Code Requires Extra Care for Young Learners
- Not designed for children, requires adult supervision and custom guardrails
- Requires a parent or guardian's account, not a child account
- Can generate code a child doesn't understand if not guided to read and question it
- No built-in age-appropriate content filtering without deliberate configuration
- Benefits enormously from structured instruction rather than self-directed exploration alone
"The skill isn't knowing how to type code. The skill is knowing how to think about problems precisely enough to communicate them to a machine, whether that machine is a compiler or an AI. Claude Code teaches the second skill at professional depth."
Is Directing an AI the Same as Learning to Code?
This is the question that sits at the heart of the Claude Code vs. Scratch debate, and it deserves a direct answer. Directing an AI to build software is a distinct skill from writing code by hand, but it is not a lesser skill. It is, in many ways, a harder skill because it requires a deeper conceptual understanding of what you want to build and why.
Consider what a child must do to use Claude Code productively. They must define the problem clearly. They must break it into logical components. They must evaluate the output against their intention and identify gaps. They must communicate corrections precisely. They must understand enough about how code works to know when Claude has made a mistake. Every one of these cognitive steps is a computational thinking skill. None of them require the child to have memorized Python syntax, but all of them require the child to think like a programmer.
Compare that to the alternative concern: that a child using Claude Code will simply paste the output into a project and call it done. That concern is valid, but it's a pedagogy problem, not a tool problem. The same concern applies to Scratch: a child can remix another user's project, change the character's name, and submit it as original work. The tool doesn't determine the learning; the structure around it does.
This is exactly why supervised, instructor-led programs matter so much. When a trained instructor guides a child through a Claude Code session, they're making sure the child understands each step, reads each output, and can explain what the code does and why. That transforms a potential shortcut into genuine learning.
It's also worth noting what Scratch does not teach: how to read code written by someone else, how to work in a real development environment, how to use version control, how to debug errors in a terminal, or how to communicate technical requirements to another person (or AI). These are not optional skills in a modern tech career. They're foundational. Claude Code, used properly, begins introducing all of them.
Head-to-Head Comparison: Claude Code vs. Scratch
The table below lays out the key differences across the dimensions that matter most to parents making this decision.
| Dimension | Scratch | Claude Code |
|---|---|---|
| Coding paradigm | Block-based visual programming | AI-assisted text-based coding in real languages |
| Real-world applicability | Low, Scratch syntax doesn't transfer to professional tools | High, produces real Python, JS, HTML files |
| Ease of entry | ✅ Very easy, drag and drop, immediate results | ⚠️ Requires setup and guidance to use productively |
| Safety for young learners | ✅ Built-in age-appropriate design, moderated community | ⚠️ Safe only with adult supervision and CLAUDE.md guardrails |
| Cost | Free | Requires Anthropic account (parent-held); paid tiers for full capability |
| Skill ceiling | Low, blocks limit complexity after foundations are learned | Effectively unlimited, scales with the learner's ambition |
| AI literacy development | ❌ None | ✅ Core to the experience |
| Computational thinking | ✅ Strong foundations: loops, conditionals, sequencing | ✅ Advanced: problem decomposition, system thinking, iteration |
| Parent oversight required | Low, platform is designed for independent youth use | High, best used in supervised, structured sessions |
| School curriculum alignment | ✅ Widely used in US K-12 CS education | ⚠️ Not yet standard in schools; ahead of curriculum |
| Projects kids can build | Animated stories, simple games, interactive cards | Websites, Python scripts, real games, chatbots, data tools |
| Instructor/program availability | Widely available in schools and after-school programs | Specialist programs like Claude Code Camp for Teens & Kids |
What Does the Research Say About Kids Learning to Code With AI?
The debate over AI-assisted coding for young learners isn't just philosophical. There's a growing body of research that helps frame the question, and the findings point in a clear direction. The critical factor isn't whether AI is involved in the learning process, it's whether a skilled instructor is present to guide how the AI is used.
A landmark study from Stanford University's Human-Computer Interaction Group found that students who received explicit instruction in how to interact with AI tools, including how to evaluate and critique AI output, developed significantly stronger problem-solving skills than those who used AI tools without that guided framework. The distinction the researchers drew was between "passive acceptance" of AI output and "critical engagement" with it. That distinction maps directly onto the difference between an unsupervised child pasting Claude's code into a project and a supervised child in a structured program reading each line and asking why.
The World Economic Forum's research on future skills consistently places AI collaboration and critical thinking about AI systems among the top competencies that young people will need across virtually every career sector. This isn't a prediction for a distant future; it reflects current hiring patterns in technology, finance, healthcare, and media.
UNESCO's work on AI competency frameworks for education, including their AI and the Future of Learning initiative, emphasizes that meaningful AI education for young learners must include understanding how AI works, not just using AI as a black box. Programs that teach kids to read the code Claude generates, to question its logic, and to modify its outputs are aligned with this framework. Programs that simply let kids prompt an AI and accept the result are not.
The research case for Scratch is equally strong, but in a different domain. MIT's own research on Scratch learners documented that the block-based environment successfully introduces computational thinking concepts to young learners who would otherwise find text-based coding intimidating. The platform lowers the affective barrier to entry, which matters enormously for kids who haven't yet decided whether "coding is for them."
What the research doesn't support is an either/or framing. The strongest learning pathways use Scratch or similar tools to build foundational confidence, then transition to AI-assisted environments like Claude Code to develop real-world skills. The question isn't which tool is better in the abstract; it's which tool is right for where your child is right now.
Safety First: How Do You Use Claude Code Responsibly With Kids and Teens?
This is where many parents stop reading and close the browser. The phrase "AI tool" triggers reasonable concern, especially for parents who've seen headlines about AI generating inappropriate content or children developing unhealthy relationships with AI chatbots. Those concerns are legitimate, and they deserve a direct response rather than dismissal.
Claude Code, used without any guardrails, is not appropriate for unsupervised youth use. That's simply true. It's a professional tool designed for adult developers. But "not appropriate for unsupervised use" is very different from "not appropriate for young learners." The difference is the structure around the tool.
The safety framework that responsible programs use for kids and teens includes several non-negotiable elements:
Parent-Supervised Sessions
Every session should involve a parent or guardian present, either physically in the room or actively monitoring a live screen share. This isn't about distrust of the child; it's about the same principle that applies to any powerful tool. A young learner working with a professional power tool in a woodworking class has an adult present. The same logic applies here. In structured programs like the Claude Code Camp for Teens & Kids, every session is conducted with parents present and sessions are recorded so families retain a complete copy of everything that happened.
No Child Accounts
Claude Code operates through a parent's Anthropic account. There are no child accounts, no separate youth profiles, and no situation where a minor is authenticated independently. The account belongs to the parent, who retains full control over access, usage history, and session content.
Custom CLAUDE.md Guardrails
CLAUDE.md is a configuration file that sits at the root of a project and tells Claude Code how to behave within that environment. A well-designed CLAUDE.md for a youth coding session specifies the scope of topics Claude will engage with, the type of language it will use, the kinds of projects it will help build, and the guardrails it will maintain. This is a technically sophisticated but highly effective safety mechanism that transforms Claude Code from a general-purpose AI into a focused educational coding assistant.
Recorded Sessions
Families should retain recordings of all sessions. This creates accountability, allows parents to review what happened even if they stepped away briefly, and gives kids a record of their own learning journey they can look back on. In structured programs, this is a standard deliverable, not an optional add-on.
One-Hour Money-Back Guarantee
Reputable structured programs should stand behind their safety and quality with a money-back guarantee. The Claude Code Camp for Teens & Kids offers a one-hour money-back guarantee, meaning if a family decides in the first hour that the program isn't the right fit, they get a full refund. That kind of policy signals confidence in both the safety framework and the instructional quality.
What Can Kids and Teens Actually Build With Claude Code?
One of the most compelling arguments for Claude Code over Scratch is the ambition of the projects young learners can complete. When kids and teens work with Claude Code in a structured setting, they build things that exist outside the learning platform itself, real projects they can show, share, and build on.
Here's a realistic picture of what different stages of learners can produce:
Early Stage: First Real Projects
A young learner in their first few sessions with Claude Code, guided by an instructor, can build a working personal website with multiple pages, CSS styling, and interactive elements. They can create a Python script that does something genuinely useful, like organizing a folder of files, generating a quiz from a text file, or building a simple calculator with a graphical interface. These aren't simulations. They're real files that run on a real computer. The child can show them to anyone without needing a special platform.
Intermediate Stage: Connected Systems
As fluency grows, kids and teens can build projects that connect to external data: a weather app that pulls from a public API, a simple web scraper that collects information from a site, a game with persistent high scores stored in a file, or a chatbot that responds to specific questions using a knowledge base the child builds themselves. These projects require understanding how different components of a system talk to each other, a fundamentally more sophisticated skill than anything Scratch supports.
Advanced Stage: Portfolio-Worthy Work
With sustained instruction and practice, young learners can build projects that genuinely belong in a portfolio: full-stack web applications with user login functionality, data visualization tools that process real datasets, original games with complex mechanics, or automation scripts that solve real problems in a family member's business. At this level, the child isn't just learning to code; they're demonstrating the ability to build software that other people can use.
Compare this to Scratch's ceiling. A highly skilled Scratch user can build an impressive platformer game or an animated interactive story. Those are genuinely creative achievements. But they live inside scratch.mit.edu, they're built with drag-and-drop blocks, and they don't transfer to professional tools. There's a place for that, especially early in the learning journey. But for kids and teens who are ready for more, Claude Code opens a door that Scratch cannot.
The Instructor Factor: Why Self-Directed Learning Falls Short for Both Tools
Here's an observation that applies equally to Scratch and Claude Code: the tool matters far less than the quality of instruction around it. A poorly guided Scratch session can reinforce bad habits, teach nothing, and frustrate a child into giving up on coding entirely. A well-guided Claude Code session can transform a young learner's understanding of how software works in a single afternoon.
The difference between a child who "uses Claude Code" and a child who "learns from Claude Code" is the presence of a skilled instructor who knows when to let the AI do the work and when to stop and make the child think.
This is why programs like the Claude Code Camp for Teens & Kids exist. The instructors, including Isaac Rudanskyict what the code will do before running it, when to introduce a deliberate error and ask the child to find it, and when to push the child toward a more ambitious next step.
That level of instructional expertise doesn't come from a YouTube tutorial or a self-paced online course. It comes from instructors who understand both the technical material and the cognitive development of young learners, and who can read a child's engagement level and adjust accordingly.
For parents considering Scratch, the same logic applies. A child who uses Scratch independently will learn something. A child who uses Scratch with a thoughtful instructor who asks good questions will learn dramatically more. The tool is the environment; the instruction is the education.
If your child has already worked through Scratch fundamentals and you're wondering what comes next, exploring the Claude Code Camp for Teens & Kids is a natural progression. It's specifically designed for young learners who are ready to move beyond block-based coding and start building real projects with professional tools.
Which Tool Is Right for Which Learner? A Decision Framework
Rather than a single recommendation, the most useful guidance is a decision framework that accounts for where a specific child is right now. Use the table below to identify the right starting point.
| Your Child's Situation | Recommended Starting Point | Reasoning |
|---|---|---|
| Has never written any code; doesn't know what a loop is | Start with Scratch | Build foundational logic without syntax frustration. Return to Claude Code once loops, conditionals, and variables feel natural. |
| Has used Scratch and wants to build "real" things | Move to Claude Code with instruction | Scratch foundations transfer well. Claude Code will immediately feel more powerful and motivating. |
| Is curious about AI and wants to understand how it works | Claude Code with structured program | Using Claude Code teaches AI literacy alongside coding. The curiosity about AI is the entry point. |
| Is in school where Scratch is already taught | Add Claude Code as a complement | Don't abandon Scratch if it's working for school. Use Claude Code to go further at home with supervision. |
| Wants to build a portfolio for future opportunities | Claude Code is essential | Scratch projects don't belong in a tech portfolio. Real Python and web projects built with Claude Code do. |
| Parent is not technical and can't supervise closely | Scratch for solo use; Claude Code only in a structured program | Claude Code without supervision is not recommended for young learners. A structured program provides that supervision even when parents aren't technical themselves. |
| Child has expressed strong interest in games, apps, or websites | Claude Code, fast | Claude Code can build real versions of these things within the first few sessions. The motivation is already there; meet it with a tool that can deliver. |
Pricing: What Does Each Option Actually Cost?
Cost is a real factor for families, and it's worth being transparent about what each path involves.
| Option | Base Cost | What's Included | Notes |
|---|---|---|---|
| Scratch (self-directed) | Free | Full platform access, community, project hosting | No instruction, no accountability, no curriculum progression |
| Scratch class (school or after-school) | $0–$30/month (school) or $100–$300 (private class) | Instruction, curriculum, accountability | Widely available; quality varies significantly |
| Claude Code (self-directed, parent account) | $20/month (Anthropic Pro tier) | Full Claude Code access | Not recommended for unsupervised youth use without guardrails |
| Claude Code Camp for Teens & Kids | Program pricing (contact AdVenture Media) | Expert instructors, CLAUDE.md guardrails, recorded sessions, parent-supervised, 1-hour money-back guarantee | All-in structured learning with safety framework built in |
The free version of Scratch is genuinely valuable for getting started. But "free and unstructured" is rarely the highest-value choice when a child's learning trajectory is at stake. The question isn't how much you spend; it's what the investment produces.
If your child is ready to move beyond blocks and start building real software with AI, the Claude Code Camp for Teens & Kids is built specifically for this transition, with the safety framework, expert instruction, and recorded sessions that make it appropriate for young learners.
Addressing the "Cheating" Question Parents Ask
One of the most common concerns parents raise when they first hear about kids using Claude Code is this: if the AI writes the code, isn't that cheating? It's a fair question, and it deserves a serious answer rather than a dismissal.
The distinction that matters is between using AI as a generator (which requires no thinking) and using AI as a collaborator (which requires sophisticated thinking). A child who describes a problem to Claude Code, reads the response, questions what they don't understand, identifies what doesn't work, and iterates until the project does what they intended is not cheating. They're doing the hardest parts of programming: problem definition, critical evaluation, and systematic improvement.
A child who types "make me a game" and submits the output as their own work is not learning, but that's also not a problem with Claude Code specifically. That's a problem with how the tool is being used, and it's identical to the problem of a child who copies someone else's Scratch project and changes the sprites.
The framing that's most useful for parents is this: Claude Code is like a very knowledgeable collaborator who will write code for you, but who requires you to give precise, thoughtful instructions and who will ask you to evaluate and improve the output. Working with that kind of collaborator is a skill. It's the skill that a large and growing share of the tech industry currently runs on. Teaching kids to use it well, rather than to ignore it or use it passively, is the responsible educational choice.
Schools are actively working through where to draw the lines on AI use in student work. The answer is not "ban all AI tools." The answer, increasingly, is "teach students to use AI tools with integrity and critical thinking." Programs that do this explicitly, with structured instruction and adult oversight, are ahead of that curve.
Frequently Asked Questions
Is Claude Code safe for kids and teens to use?
Claude Code is safe for young learners when used in a structured, supervised environment with appropriate guardrails. It requires a parent's account (no child accounts), should always be used with an adult present, and benefits greatly from custom CLAUDE.md configuration that focuses the AI on age-appropriate educational tasks. Unsupervised use without these guardrails is not recommended.
What age is right for Claude Code vs. Scratch?
Rather than a specific number, the right indicator is where a child is in their coding journey. Scratch works well for young learners who are completely new to coding concepts. Claude Code becomes a natural next step once a child understands basic logic (loops, conditionals, variables) and is motivated to build things that go beyond what Scratch can do. Curiosity and motivation matter more than a specific number.
Can a child learn to code properly using Claude Code, or will it just do everything for them?
With proper instruction, Claude Code teaches genuine coding skills. The key is ensuring the child reads and understands the code Claude produces, asks questions about how it works, modifies it to meet new requirements, and learns to identify and fix errors. A skilled instructor makes the difference between passive use and active learning.
Do I need to be technical to support my child using Claude Code?
You don't need to be technical, but you do need to be present. For non-technical parents, the best option is a structured program with expert instructors who manage the technical environment while you observe. Programs like the Claude Code Camp for Teens & Kids are designed precisely for families where the parent isn't a programmer but wants their child to have expert-led, supervised instruction.
What is CLAUDE.md and why does it matter for kids?
CLAUDE.md is a configuration file that sits at the root of a Claude Code project and defines how the AI behaves in that context. For youth programs, it's used to specify that Claude should stay focused on educational coding tasks, use appropriate language, avoid off-topic conversations, and maintain guardrails suited to young learners. It's one of the most important safety mechanisms in a well-designed youth program.
Is Scratch still worth learning if Claude Code can do more?
Yes. Scratch builds foundational computational thinking in a way that's genuinely valuable, especially for learners who are new to coding. The block-based format removes syntax barriers that can frustrate beginners and undermine confidence. Learning Scratch first and then transitioning to Claude Code is a logical and well-supported progression.
Can kids build real things with Claude Code, or just toy projects?
Kids and teens working with Claude Code in structured programs build genuinely real projects: functional websites, Python scripts, interactive games, and simple applications. These are real files that run on real computers, not projects confined to a proprietary platform. They can be added to a portfolio, shared with others, and built upon over time.
What is the money-back guarantee for the Claude Code Camp for Teens & Kids?
The Claude Code Camp for Teens & Kids offers a one-hour money-back guarantee. If a family decides within the first hour that the program isn't the right fit, they receive a full refund. This policy reflects confidence in both the safety framework and the instructional quality of the program.
Are sessions in the Claude Code Camp for Teens & Kids recorded?
Yes. Sessions are recorded and families retain a complete copy. This provides accountability, allows parents to review sessions they may not have watched in full, and gives young learners a record of their progress they can return to.
Who teaches the Claude Code Camp for Teens & Kids?
Instructors include Isaac Rudanskyl decisions throughout each session rather than simply supervising screen time.
Is Claude Code better for building an academic or professional portfolio than Scratch?
Yes, for portfolio purposes, Claude Code projects are significantly stronger. A portfolio showing real Python applications, web development work, or data tools built using AI-assisted development demonstrates both technical ability and AI literacy. Scratch projects, while creatively valid, are not typically included in tech-focused academic or professional portfolios.
How does the Claude Code Camp for Teens & Kids compare to other coding programs for kids?
Most coding programs for young learners still focus on Scratch, block-based coding, or introductory Python. The Claude Code Camp for Teens & Kids is specifically designed around AI-assisted development with a professional tool, making it distinctive in the current landscape. The combination of expert instruction, parent-supervised sessions, custom safety guardrails, and recorded deliverables sets it apart from both generic coding camps and self-paced online courses.
Key Takeaways
- Scratch is the right starting point for young learners who are new to coding. It builds foundational logic without syntax frustration and has a strong safety record in youth education.
- Claude Code is the right next step for young learners who have foundational concepts and are ready to build real projects. It produces real code, reflects professional workflows, and develops AI literacy alongside coding skills.
- The "cheating" concern is a pedagogy problem, not a tool problem. Properly instructed children learn more from Claude Code, not less, because it requires precise thinking, critical evaluation, and iteration.
- Safety requires structure. Claude Code is not appropriate for unsupervised youth use. Parent supervision, a parent-held account, custom CLAUDE.md guardrails, and recorded sessions are non-negotiable elements of responsible use.
- Instruction quality matters more than tool choice. A skilled instructor transforms either platform from a toy into a genuine learning environment. Self-directed use of either tool has real limits.
- The two tools are complementary, not competing. The most effective learning path uses Scratch to build foundations and Claude Code to develop real-world skills, with quality instruction at both stages.
- For families who want the Claude Code experience with all the safety and instructional infrastructure built in, the Claude Code Camp for Teens & Kids is the structured, expert-led option, with a one-hour money-back guarantee and sessions recorded for families to keep.
The bottom line: if your child hasn't started coding yet, begin with Scratch. If they've already discovered they love it and want to build something real, Claude Code, with the right instruction and supervision, is one of the most powerful learning investments you can make for their future.
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