Prompt Library Expansion: Full Framework & Language Coverage

The AEEF Prompt Library now provides complete, production-ready prompt coverage across every major framework and language in the standards. This release closes the gap between "we have standards" and "here's exactly what to paste into your AI tool."

What Changed

6 Frameworks — Full Parity

Every framework now has both a convention guide (rich reference with AI pitfalls table) and deployable prompt templates (copy-paste atomic prompts for daily workflows).

Framework	Convention Guide	Deployable Prompts
Next.js	nextjs.md	4 templates
React	react.md	3 templates
Express	express.md	4 templates
FastAPI	fastapi.md	4 templates
Django	django.md	4 templates
Spring Boot	spring-boot.md	4 templates

Standard template set per framework: endpoint-implementation, component-implementation, security-review, testing-strategy. Frontend-only frameworks (React) omit endpoint-implementation.

Previously, Express, FastAPI, and Next.js had convention guides but no deployable templates. React, Django, and Spring Boot had templates but no convention guides. Now every framework is complete on both sides.

4 Languages — 7 Prompts Each

Python, TypeScript, Go, and Java each have a convention guide plus 7 deployable prompt files covering the full development lifecycle:

1. Secure endpoint generation — scaffolding with security baked in
2. PR risk review — language-specific code review checklist
3. Test matrix — risk-based test generation
4. Incident triage — production debugging prompts
5. Legacy refactoring — modernization with safety
6. Change runbook — deployment documentation
7. Dependency risk check — supply chain assessment

5 End-to-End Scenario Tutorials

These are the highest-impact additions. Each scenario walks through a realistic feature applying all 7 PRD-STDs from prompt to production — showing how the standards reinforce each other.

Scenario	Stack	Feature	Key Governance Lessons
Next.js Full-Stack	Next.js, TypeScript, Prisma	User invitation system	Server/client boundary security, Zod validation
Python Microservice	FastAPI, SQLAlchemy	Webhook delivery	SSRF prevention, HMAC signing, async testing
Go Microservice	Go, Chi, Redis	Rate-limiting service	Concurrency safety, atomic Redis ops, race detection
Spring Boot Enterprise	Java 21, Spring Boot 3	Document retention	@Valid enforcement, testing pyramid, compliance audit
Django Monolith	Django 5, DRF, Celery	Recurring reports	Object-level auth, Celery patterns, N+1 detection

By the Numbers

Metric	Before	After
Framework prompt files	10	23
Language prompt files	0	28
Convention guides (frameworks)	3	6
Convention guides (languages)	3	4
End-to-end scenario tutorials	0	5
Total new files	—	71
Total new lines	—	6,735

Why This Matters

Before this release, adopting AEEF meant reading a standard, then writing your own prompts from scratch. The prompt library existed but covered only generic use cases and roles — not the specific frameworks and languages teams actually use.

After this release, the adoption path is:

1. Pick your stack (e.g., Django + Python)
2. Open the convention guide — scan the AI pitfalls table
3. Copy a deployable prompt — paste into your AI tool
4. Walk through the matching scenario tutorial — see all 7 standards applied together
5. Adapt to your feature and ship

The governance overhead for a single feature drops from "read 7 standards and figure it out" to "follow the scenario and adapt the prompts."

What's Next

• Prompt verification: Moving draft prompts to verified status through structured testing (5+ representative tests per prompt)
• Additional frameworks: Vue.js, Angular, NestJS, Flask, Rails based on community demand
• Additional languages: Rust, C#, Kotlin, Ruby
• CI integration guides: Using prompts directly in CI pipelines for automated review

Get Started

• Browse the full Prompt Library
• Walk through a Scenario Tutorial for your stack
• Review the Production Standards for the full governance framework