RFC101 RFC101
Production-ready AI Engineering

From AI-generated code to production-ready products.

RFC101 helps founders and developers launch AI products with confidence - from development environments and AI agents to cloud deployment, architecture optimization and long-term operations.

Technical Architecture Illustration

Your customers don’t care about Docker. They care that your product works.

bolt

Launch Faster

Eliminate the "it works on my machine" bottlenecks. We standardize your local development environments using Cursor and dev-containers for immediate velocity.

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Reduce Risk

Stop fearing deployments. We implement hardened CI/CD pipelines, automated testing, and blue-green deployments to ensure 99.9% reliability.

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Focus on Product

You build the features that win markets; we build the invisible infrastructure that supports them. Infrastructure as Code (IaC) comes standard.

What RFC101 helps you ship

We bridge the gap between AI prototyping and production engineering.

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Stage 01

Development Environment

Optimized workflows for AI-first development. We set up isolated, reproducible environments that leverage the full power of modern AI tools.

Cursor Claude Code Dev Containers
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Stage 02

Production Deployment

Taking your app from a laptop to the global web. We handle containerization, cloud provisioning, and security hardening for scaling.

Docker Cloudflare GitHub Actions
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Stage 03

Architecture Optimization

Refining systems for performance and cost. We audit your stack to remove bottlenecks, reduce latency, and lower cloud compute bills.

PostgreSQL Redis K8s
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Stage 04

Long-term Support

Your fractional engineering partner. We provide ongoing maintenance, security updates, and architectural evolution as your user base grows.

Monitoring On-call SRE

Built for the builders.

AI Founders

Focus on your unique AI value proposition while we handle the boring but critical infrastructure and reliability layers.

Indie Developers

Scale your solo project to a world-class production system without needing to hire a full-time DevOps engineer.

Startup Teams

Inject senior engineering expertise into your team for critical launches, migrations, or architectural pivots.

The Tech Stack We Trust

Specialized in the tools that power modern AI products.

grid_view Kubernetes
cloud_sync Cloudflare
storage AWS
memory Redis
database PostgreSQL
psychology OpenAI
auto_awesome Claude
code Go
terminal Python
settings_input_component Terraform

The RFC101 Method

01. Discovery

Audit & Analysis

We dive deep into your codebase, identifying bottlenecks and risk areas.

02. Architecture Review

Strategic Blueprint

Mapping out the production-grade path for your specific product needs.

03. Implementation

Active Engineering

We write the code, set up the infra, and integrate the AI workflows.

04. Production Launch

Zero-Downtime Push

Safe, monitored migration from staging to the live environment.

05. Validation

Performance Stress Test

Verifying security, scale, and performance under real-world loads.

06. Support

Continuous Growth

Ongoing optimization as your user requirements and AI models evolve.

Prototyping vs Production Visualization
Certainty

You’re not buying deployment.
You’re buying certainty.

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Production Mindset

We don't just "deploy." We build for observation, error handling, and recovery from day one.

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Engineering Standards

Applying the rigors of big-tech engineering to fast-moving AI startups without sacrificing speed.

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Reliability as a Feature

Performance is a baseline, not a goal. We ensure your AI agents respond in milliseconds, not seconds.

Example engagement types

From rescue missions to strategic launches.

AI SaaS Launch

Zero to production in 4 weeks. Full stack setup with Cloudflare Workers and Pinecone.

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AI Agent Deployment

Hardening a ReAct-based agent fleet for production usage and long-term stability.

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Infra Recovery

48-hour rescue mission to fix broken k8s clusters and database deadlocks for a scaling app.

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Architecture Review

Deep dive audit for a Series A team preparing for 10x traffic growth next quarter.

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Questions?

How long does a typical engagement last? expand_more
Engagements range from 2-week quick audits and environment setups to long-term monthly retainers. Most initial production launches take 4-6 weeks.
Do you work with non-AI products? expand_more
While our specialty is the unique infrastructure needs of AI (low latency, long-polling, heavy compute), we are high-end engineering generalists and can support any modern technical product.
Is RFC101 a full-service dev agency? expand_more
We focus on Engineering and Operations. While we write code, we are not a "design and product" agency. We work best when you have the product vision and need the technical foundation to support it.

Ready to launch your AI product?

Let’s move your infrastructure from "prototype" to "production" this week.