I move fast when I build — especially during hackathons, MVP sprints, and product experiments — but I do not want “move fast” to quietly turn into “ship something careless.”
JadaSecure is the reusable security standard I bring into projects I build with AI coding tools.
The source of truth is Jadasecure.md.
It gives the coding agent clear rules before the build gets too far, then gives me a human checklist before I call the project ready.
AI coding tools make it ridiculously easy to go from:
idea → working prototype → deployed app
That speed is useful. It can also hide bad assumptions.
Something compiling does not mean authentication is safe.
Something working locally does not mean secrets are protected.
Something looking polished does not mean the data flow makes sense.
I wanted one security floor I could reuse across my own builds instead of remembering the same launch questions from scratch every time.
JadaSecure is organized around the mistakes I most want to catch before launch:
| Area | What I am checking |
|---|---|
| Secrets | API keys, tokens, environment variables, accidental client-side exposure |
| Authentication | identity checks, session handling, protected routes |
| Authorization | whether users can reach data or actions they should not |
| Input + APIs | validation, unsafe assumptions, rate limits, error handling |
| Data + privacy | collection, storage, logs, sensitive fields, unnecessary retention |
| Dependencies | risky packages, outdated assumptions, unnecessary attack surface |
| AI-assisted code | places where the agent made a decision that still needs human judgment |
| Launch blockers | manual checks I want completed before real users touch the product |
The full rules, prompts, and launch checks live in Jadasecure.md.
curl -fsSL https://raw.githubusercontent.com/Jadamylan/jadasecure/main/Jadasecure.md -o Jadasecure.mdThen tell the coding agent:
Follow Jadasecure.md. Do not ship a change that violates Hard Rules.
Before launch, I run the security-audit prompt from the bottom of the file and complete the manual ship blockers myself.
My preferred flow is:
1. Add JadaSecure at the beginning
2. Build the feature
3. Ask the agent to audit against JadaSecure
4. Fix anything that violates a Hard Rule
5. Run the human launch checks
6. Then ship
That matters to me because I use AI heavily when I build. The answer is not to pretend the agent is either perfectly safe or completely unusable.
The answer is to make the expectations explicit.
This is not a certification, penetration test, compliance framework, or promise that a checklist can make an application “secure.”
It is a floor.
The goal is to:
- catch avoidable mistakes consistently
- make security expectations visible to the coding agent
- keep secrets and permissions from becoming afterthoughts
- force a human decision on the things I do not want an agent quietly deciding for me
JadaSecure draws from checks I wanted to reuse from:
The original projects remain copyright their respective authors.
MIT for my original wrapper / organization. See the upstream projects for their respective licensing and copyright terms.