DIY security: how non-devs can build safe micro-apps with AI helpers
Practical security rules for non-developers building LLM-assisted micro-apps: secrets, dependencies, minimal permissions, and peer review.
Hook: You can build small apps — safely — even if you’re not a developer
Building micro-apps with AI helpers is now routine. Many non-developers are creating personal tools, automations, and side projects using LLM-assisted build flows — but speed and convenience come with risk. If you ship a micro-app that leaks credentials, asks for broad permissions, or pulls in an untrusted dependency, you can expose yourself and your users to scams, account takeover, and data loss.
Most important rules up-front (TL;DR)
- Never put secrets in chat with a third-party LLM. Use secrets managers or platform environment variables.
- Apply dependency hygiene: pin versions, use vetted packages, and scan for supply-chain risks.
- Surface the smallest permissions possible: follow least-privilege and request only what the app needs.
- Get peer review before sharing: a short technical checklist or a friend with dev experience catches most issues.
Why this matters in 2026
Two things changed in late 2024–2026 that make hygiene vital. First, the rise of local and smaller LLMs (and privacy-focused tools, like local-browser AIs) means non-developers can do more on-device — but also mix local and cloud services in ways that create accidental leaks. Second, software supply-chain attacks and hostile packages remain a top vector for compromise; attackers still target popular ecosystems (NPM, PyPI) and low-code connectors.
In short: micro-apps are easier than ever, and attackers still win when creators skip the basics. The guidance below gives practical, repeatable steps a non-developer can follow when doing an LLM-assisted build.
Rule 1 — Secrets and credentials: store them like you mean it
Credentials are the highest-risk asset in a micro-app. The fastest way to get compromised is to paste API keys, database passwords, or OAuth tokens into a chat with an LLM or hard-code them into a pasted snippet.
Practical do's
- Use a consumer-friendly secrets manager: 1Password, Bitwarden or your hosting platform’s secret vault (Vercel/Netlify environment variables) to store API keys and credentials. These are accessible to the app at runtime without exposing the secrets in code.
- Prefer short-lived, scoped tokens. Use OAuth where possible and request refresh tokens sparingly. For cloud providers, use temporary credentials (like AWS STS or short-lived service account keys).
- If you must generate a key for testing, generate a token with minimal scope and delete it after the test.
- When prompted by an LLM, redact or describe the secret rather than pasting it. Example: replace the real API key with [SOS_API_KEY] and explain the token's scope and expiry instead.
- Use platform environment settings for configuration — do not commit secrets to repositories. For static hosting, configure environment variables in the hosting UI (Netlify, Vercel, Firebase).
Practical don'ts
- Don’t paste production secrets into public chat or public repositories.
- Don’t email credentials or put them in shared Google Docs without access controls.
- Don’t let the LLM store secrets as part of a prompt history if you’re using a cloud LLM — assume prompts are retained unless you know otherwise.
Never share API keys, database passwords, or personal access tokens with a public LLM. Treat LLM chat like a public paste unless you’ve verified private/ephemeral storage.
Rule 2 — Dependency hygiene: small app, small supply chain
Dependencies are how features get built fast, but they are also a common attack surface. For non-developers using LLMs to scaffold app code, the model may suggest dependencies you don’t understand. Follow a simple hygiene routine to shrink risk.
Checklist for dependency hygiene
- Limit third-party packages. Use the fewest libraries required. Every additional package is another trust decision.
- Pin versions. Lock dependencies to specific versions rather than allowing floating semver ranges. This makes behavior reproducible and reduces surprise upgrades.
- Vet packages quickly. For any suggested package, check the package registry page: download counts, last publish date, GitHub repo health, recent commits, number of maintainers, open issues, and security advisories.
- Prefer reputable sources. Use well-known, widely-used libraries. Avoid poorly maintained niche packages for critical tasks (auth, crypto, networking).
- Scan for vulnerabilities. Use free scans like Snyk free tier, GitHub Dependabot alerts, or OSS Index. Many hosting consoles offer dependency scanning for static sites and serverless functions.
- Use a Software Bill of Materials (SBOM) where possible. Even a simple list of dependencies and versions is helpful during review and incident response.
How to do this without being a dev
- Ask your LLM assistant to output a dependency list (package.json or requirements.txt equivalent) and then ask it to summarize why each package is needed.
- If your low-code tool injects connectors, view the connector manifest or integration settings and limit connectors to trusted services.
- When in doubt, favor native platform features over extra packages — for example, use built-in fetch/APIs rather than adding an HTTP client package.
Rule 3 — Minimal surfaced permissions: least privilege for happy users
Every permission you request increases the impact of a breach. Micro-apps should surface the smallest, clearest permissions necessary. That applies to OAuth scopes, mobile permissions (contacts, SMS), and browser extension permissions.
Principles to use
- Ask for what you need now, not for later. Avoid requesting broad read/write access for features you might add someday.
- Prefer read-only scopes when possible. If your app only needs to display calendar events, request read-only access rather than full calendar control.
- Explain requested permissions to users. Use clear language: why you need access, how long access lasts, and how to revoke it.
- Use delegated credentials for third-party APIs. OAuth and PKCE flows are friendlier and safer for users than asking for their passwords or personal tokens.
Concrete examples
- Calendar app: request calendar.read instead of calendar.read_write if you only show events.
- Google Drive: request a single folder’s access via a limited scope or use a service account that only has permissions for a specific folder.
- Browser extension: avoid the "read all website data" permission; instead, require explicit user activation on the sites where your micro-app operates.
Rule 4 — Peer review: cheap, fast, and effective
A brief peer review catches the majority of problems. For non-developers, peer review doesn’t mean a formal security audit — it can be a 30-minute checklist-driven session with a technical peer or community reviewer.
Peer-review checklist (30-minute review)
- Verify there are no secrets in the repository or chat history.
- Validate the dependency list: no unvetted packages and versions pinned.
- Confirm permissions requested are minimal and documented for users.
- Check data flows: where user data goes, which third-party APIs receive it, and if data is stored persistently.
- Confirm access revocation: show how a user can disconnect the app or revoke tokens.
- Confirm logging and error messages don’t leak sensitive data.
Where to get reviewers
- Ask a friend or colleague with dev/IT experience for a quick review.
- Use community channels: subreddits, Discords, or technical groups where peer review is common (offer to reciprocate).
- Hire a short freelance security review if the app will be shared beyond trusted people. A 1–2 hour review can be affordable and high-value.
Vetting, verification, and red flags for micro-app safety
When evaluating your own micro-app or someone else’s, look for a few strong signals of care and safety. These are also the same signals you can use to avoid scams or low-quality connectors.
Good signals
- Clear README or docs that explain what the app does, what data it accesses, and how to revoke access.
- Dependency list with pinned versions and a note about why each package is used.
- Secrets stored in a vault and not in code or chat logs.
- Short-lived tokens and OAuth-based authentication (PKCE for native apps).
- Easily accessible revoke/disconnect button or instructions.
Red flags (stop and don’t share)
- Code or instructions that ask you to paste a private API key into a browser form or chat with an LLM.
- Unexplained wide-scope permissions (access to all email, write access to storage, access to contacts without reason).
- Minified or obfuscated code with no source repository or explanation.
- Dependencies from unknown authors with tiny download counts and no recent commits.
Practical LLM-specific safety steps
LLMs are fantastic at scaffolding app logic and producing code, but treating LLMs as a fully trusted coding partner is risky. Use these practical steps when doing an LLM-assisted build.
- Never paste secrets into the LLM. If you need to teach the model about a credential format, use a placeholder token.
- Ask the LLM to produce an SBOM and a short security notes section with the code it generates.
- When the LLM suggests packages, ask it to justify them and provide alternative safer options.
- If possible, use a local LLM or a private LLM endpoint for sensitive code or design that touches personal data. Local models and privacy-first browsers (2025–2026) reduce risk of remote data retention.
- Limit the LLM’s output scope: request explicit file-level outputs and ask for a dependency manifest so you can review what’s added to your project.
Incident response: What to do if you think you leaked a secret
- Revoke the leaked credential immediately. Rotate keys in your provider console (API keys, database passwords, OAuth client secrets).
- Check logs to see usage from unknown IPs or unusual patterns; notify affected users if data exposure happened.
- Create a new credential with the minimum scope required and update your app’s secret vault. Use short expiry tokens for extra safety.
- Do a quick dependency re-scan and peer review to ensure no backdoors or malicious packages were added.
Example: Safe micro-app workflow for a non-developer
Here’s a step-by-step recipe you can follow the next time you build a small app with an LLM:
- Plan the feature and write a short spec (1–2 paragraphs). Note data inputs/outputs and what third-party APIs are needed.
- Use an LLM to generate a minimal prototype and ask it to produce a dependency list and an SBOM. Use placeholders for secrets.
- Vet dependencies using the quick checklist: last update, stars, downloads, maintainers.
- Store secrets in 1Password/Bitwarden or hosting environment variables, and wire them into the app using the platform’s recommended method.
- Implement OAuth/PKCE for user auth where available to avoid storing user passwords.
- Run a dependency scan, then do a 30-minute peer review with a technical friend or community reviewer.
- Deploy under a limited audience (TestFlight, private URL, or invite-only staging) and monitor logs for unusual activity.
- Iterate and expand access only after further peer review and user feedback.
Final practical takeaways
- Protect secrets first: never paste them into chat; use vaults and short-lived tokens.
- Minimize dependencies: choose reputable packages, pin versions, and scan for vulnerabilities.
- Request minimal permissions: follow least-privilege and make revocation easy.
- Peer review is non-negotiable: a 30-minute checklist review prevents most mistakes.
Looking ahead: trends to watch in 2026
Expect tooling that makes these steps easier: hosted SBOM generators integrated into low-code builders, automatic permission-scope minimizers, and local-LMM integrations in privacy-first browsers. The community and platform owners are folding security into fast-build flows; your job is to adopt those safe defaults and keep minimal, repeatable checks in your process.
Call to action
If you’re a non-developer ready to ship a micro-app, download our free Micro-App Security Checklist and request a quick 30‑minute peer review from our network. Want a template for safe environment configuration or a one-page dependency vetting guide? Submit your micro-app link and we’ll review the SBOM and permission list within 48 hours.
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