BCBC PAIG — The AI Gateway That Remembers Your Entire Project
Open Source RFC (Request for Comments)
What is PAIG?
PAIG (Project AI Gateway) is an open-source AI gateway that sits between users, applications, AI models, and AI agents.
Instead of every application having its own isolated AI integration, PAIG provides a single intelligent gateway that can route requests, preserve project context, manage credentials, coordinate multiple providers, and eventually orchestrate AI agents.
The long-term goal is to make AI infrastructure modular, portable, and vendor-neutral.
Why Does PAIG Exist?
Current AI workflows are fragmented.
Projects often depend on multiple providers, multiple models, multiple APIs, and increasingly, multiple AI agents.
Context is scattered.
Credentials are duplicated.
Engineering knowledge is lost.
PAIG is intended to become a single operational layer that keeps those pieces working together without locking a project into one provider or one model.
Current Goals
- Unified AI Gateway
- Multi-provider routing
- Project-aware context management
- Secure credential management
- AI agent integration
- Modular architecture
- Open-source development
- Vendor-neutral design
Long-Term Vision
PAIG is intended to evolve beyond a gateway.
Future capabilities include:
- Engineering Memory
- AI Agent Orchestration
- Operational Documentation
- Deployment Automation
- Project Knowledge Modules
- Administrative Control
- Self-documenting Systems
The objective is to preserve not only project files, but also the engineering experience that created them.
Why OneHack?
I’m intentionally introducing PAIG here before promoting it anywhere else.
I’ve always respected the quality of discussion within the OneHack community.
The people here have real-world experience building infrastructure, reverse proxies, security tooling, AI workflows, automation, and production systems.
That’s exactly the kind of feedback this project needs while it’s still young enough to improve.
I’m not looking for applause.
I’m looking for engineers willing to challenge assumptions, point out weaknesses, and share lessons they’ve learned from building similar systems.
If you’ve built reverse proxy environments, AI gateways, multi-provider AI deployments, agent frameworks, or anything similar, your experience could directly influence where PAIG goes next.
BCBC Engineering Standard (BES)
One unexpected result of building PAIG has been the beginning of what I’m calling the BCBC Engineering Standard (BES).
The central idea is simple:
Experience Should Become Infrastructure.
Most software preserves source code.
Very little preserves engineering experience.
PAIG is becoming one of the first projects where both are treated as first-class citizens.
Community Feedback Requested
I’d especially appreciate feedback on:
- Reverse proxy architecture
- AI gateway design
- Multi-provider routing
- Agent orchestration
- Security considerations
- Credential management
- Engineering workflows
- Documentation strategy
- Operational experience
- Anything I’ve overlooked
Constructive criticism is far more valuable than agreement.
If you’ve solved similar problems—or discovered better approaches—I’d genuinely like to hear about them.
Thank you for taking the time to read this and help shape the project.
!