The trust layer for AI-written code
AI writes code fast. BeforeBuild makes it safe to ship. Start in Launchpad and a guided team walks your idea through market validation, user journeys, architecture, security, and drift, one step at a time. Prefer to go solo? Every step is also a standalone tool you can run on its own, whenever you need it.
What is BeforeBuild?
BeforeBuild is a platform that sits between your AI coding tools and production. It gives you the things AI assistants usually skip: a real architecture plan, transferable context, a security baseline, and ongoing drift checks. Together they turn a quick prototype into a codebase you can trust. Launchpad ties them into one guided run, and each piece is also a live tool you can try on its own right now.
Launchpad
Start hereDescribe your idea once and a guided team carries it from concept to verified codebase: validate the market, map the user journey, design the architecture, scan for vulnerabilities, and watch for drift, with you approving each step.
Validate demand and design the right solution before you write production code.
Market Research
Validate demand and map the competitive landscape before you build anything.
Open Market ResearchUser Journey
Sketch the main user journey, then deepen it one step at a time.
Open User JourneyBlueprint
Turn your idea into a technical architecture your coding agent can execute.
Open BlueprintCarry that plan into implementation with full context and trusted starting points.
Prove the code is secure, understandable, and still true to the original design.
Security Scan
Find vulnerabilities AI tends to introduce, including an optional sandbox runtime check that proves the repo boots and responds.
Open Security ScanArchitecture Analysis
SoonCatch architecture risks and weak boundaries before they become expensive to unwind.
Open Architecture AnalysisDrift Check
Measure where implementation has drifted from the intended design and what to fix first.
Open Drift CheckReadable for humans and agents
BeforeBuild draws the user journey, maps architecture on a canvas, and explains findings in plain language so your team and your coding agent share the same context.
Proves it runs
Beyond static analysis, runtime verification can boot your repo in an isolated sandbox and confirm routes respond - evidence, not guesswork.
Who is it for?
Builders and vibe coders
Go from a fuzzy idea to a documented, security-verified codebase, with a plan up front and drift protection as you ship.
Creators and agencies
Standardize how projects are planned, documented, and verified so teams can deliver faster without sacrificing trust.
Founders and small teams
Use AI to move fast while keeping decisions, risks, and runbooks clear enough for humans to maintain and trust.
Fast code is not the same as safe code
AI tools have made it trivial to produce something that runs. The trouble starts after that. The same tools regularly introduce leaked secrets, broken access control, and injection flaws, and they rarely leave behind the context a team needs to maintain the result. The numbers back this up.
of AI-generated code ships with an OWASP Top 10 vulnerability, a rate that stayed flat across model generations.
Veracode, 2025 GenAI Code Security Report ~10%of AI-written snippets pass a security review, even though 61% run correctly. Working is not the same as safe.
Carnegie Mellon University 6 to 35monthly CVEs traced directly to AI coding tools between January and March 2026, with researchers estimating the real count is far higher.
Georgia Tech Vibe Security Radar 5,600vibe-coded apps scanned in production turned up more than 2,000 vulnerabilities and over 400 exposed secrets.
Escape, 2026How does it compare?
Most tools cover one slice. BeforeBuild connects the full loop so the same project is planned upfront, readable for humans, proven in runtime checks, and watched for drift.
| Approach | Plans it | Reads for humans | Proves it runs | Guards drift |
|---|---|---|---|---|
| Raw AI coding assistant | Partial | – | – | – |
| Boilerplate or template marketplace | – | Partial | – | – |
| Standalone security scanner | – | Partial | Partial | – |
| BeforeBuild |
Pricing
Start free and upgrade when you ship more. Every plan includes blueprints, scans, and Agent Dossier generation. Credits refresh each month.
- 5 blueprints
- 10 scans
- 5 Agent Dossiers
- Community support
- 20 blueprints
- 80 scans
- 60 Agent Dossiers
- Priority support
- 110 blueprints
- 440 scans
- 330 Agent Dossiers
- Priority support
Documentation
Read how the platform works end to end: getting started, the Agent Dossier format and scoring, the security badges, and how to connect BeforeBuild to your coding agent over MCP.
Read the docsSee it in action
Every tool is live and free to try. Jump straight in:
Frequently asked questions
What is BeforeBuild?
BeforeBuild is the trust layer for AI-built software. It plans what you build, checks what your AI writes, and keeps it clear enough for a person to trust.
What is Launchpad?
Launchpad is the guided way to use BeforeBuild. You describe your idea once and a standing team walks it through the full Plan -> Build -> Verify sequence. You approve each step and can open any tool on its own at any time.
Does BeforeBuild write the code for me?
No. Your coding agent writes the code. BeforeBuild provides the plan, verification, and human-readable context so what your agent ships is safer to maintain.
What does a security scan check?
A baseline scan looks for OWASP Top 10 patterns, leaked secrets, dependency CVEs, and configuration problems. An optional deep scan adds Semgrep, Trivy, Gitleaks, and Bearer, and runtime verification boots the repo in an isolated sandbox to confirm it actually runs.
What are the offerings in Plan / Build / Verify?
Plan includes Market Research, User Journey, and Blueprint. Build includes Connect to Agent and Exchange foundations. Verify includes Security Scan, runtime 'does it run' checks, Architecture Analysis, and Drift Check.
What makes BeforeBuild readable for humans and agents?
It turns AI output into shared artifacts: journey maps, architecture canvases, plain-language findings, and the Agent Dossier. That gives both humans and agents the same working context.
How does the 'does it run' check work?
Runtime verification can boot the repository in an isolated sandbox and exercise routes so you can prove it starts and responds, not just that static checks pass.
Is it free to use?
Yes. The Free plan includes monthly blueprints, scans, and Agent Dossiers. Paid plans raise limits for teams shipping more often.
Can I use it inside my AI coding agent?
Yes. BeforeBuild ships an MCP server, so you can run its blueprint, scan, runtime-verify, and drift tools directly inside Cursor, Claude Code, or Windsurf with a single command.
Make trust the default for AI-built software
Start with a blueprint in under a minute. No credit card required.