BaryoDev 2.0: The Enterprise-Grade AI Engineering Framework
How we built a self-improving, token-efficient, and worldwide-standard system for production AI development.
In my last post, I introduced the "Baryo Way"—a philosophy of performance, discipline, and zero-external dependencies. Today, we are taking it to the next level.
We’ve just released BaryoDev 2.0, expanding from a handful of coding rules to a complete Enterprise AI Skill Suite featuring 19 specialized skills, worldwide standards compliance, and a revolutionary Smart Loading System that saves up to 80% on token costs.
The 19-Skill Ecosystem
One of the biggest problems with AI coding is "vibe coding"—where the AI writes code that looks right but fails the rigors of production. BaryoDev solves this by codifying expertise into 19 distinct skills organized into four categories:
mermaid
mindmap
root((BaryoDev 2.0))
Core (Always Active)
baryo-coding
baryo-testing
baryo-discipline
baryo-learning
Production (Recommended)
baryo-security
baryo-observability
baryo-compliance
Process (Teams)
baryo-workflow
baryo-collaboration
baryo-documentation
baryo-packaging
Enterprise (Scale)
baryo-api
baryo-privacy
baryo-scale
baryo-global
baryo-devops
baryo-resilience
baryo-finops
baryo-architectureFrom OWASP Top 10 security to GDPR privacy and WCAG 2.1 accessibility, every skill is designed to be language-agnostic and enterprise-ready.
The Token Optimization Problem
As the skill library grew, we hit a wall: Context Overflow. Loading 19 full skills into an AI session consumed over 16,000 tokens—leaving little room for code and driving up costs.
Our solution? Smart Skill Loading.
We created BaryoDev Skills Lite—a condensed summary of all 19 skills that stays under 2,500 tokens. When the AI needs deep expertise, it dynamically fetches the full documentation using a dedicated fetcher script.
mermaid
sequenceDiagram
participant User
participant AI
participant Template (.cursorrules)
participant GitHub (Skills Repo)
User->>AI: "Build a secure payment API"
AI->>Template: Check .cursorrules (Lite Skills)
Template-->>AI: Load baryo-security (Lite)
AI->>AI: Identify need for deep expertise
AI->>GitHub: Fetch full baryo-security skill
GitHub-->>AI: Full SKILL.md (OWASP details)
AI->>User: "Implementing with OWASP-compliant auth..."Self-Healing AI: The Learning Loop
BaryoDev 2.0 introduces Continuous AI Learning. When the AI makes a mistake or learns a new pattern from your project, it documents it, audits the root cause, and proposes a skill update.
With your approval, the AI then creates a Pull Request to the central BaryoDev/skills repository. Every developer using the framework becomes a contributor, making the entire community's AI smarter every day.
🙋♂️ Q&A: Everything You Need to Know
Q: Is this only for .NET developers?
A: No! While we started with .NET projects (Carom, Mapsicle, Verdict), the enterprise suite is designed to be paradigm-agnostic. The rules for security, observability, and scaling apply to TypeScript, Go, Rust, Python, and more.
Q: How much does this actually save on tokens?
A: By using the "Lite" version in .cursorrules, you save approx. 85% on initial token consumption (from 16k to 2.5k). Full skills are only fetched when a specific task demands deep expertise.
Q: Does the AI really "fix" itself?
A: Yes. Under the baryo-learning skill, the AI tracks its own mistakes in .baryo/mistakes/. It analyzes why it failed (e.g., "Hallucinated an API") and drafts a specific instruction to prevent it next time.
Q: How do I get started?
A: You can use our Template Project as a "Startup in a Box." It comes pre-configured with the smart loading system, VitePress docs, and GitHub templates.
The Vision: Collective Engineering Intelligence
BaryoDev isn't just a set of files; it's a neighborhood (Baryo) of developers and AI agents sharing standards. By codifying discipline and worldwide standards into reusable skills, we are making production-grade engineering accessible to everyone—from solo hackers to enterprise teams.
Join the movement: 🚀 Template: github.com/BaryoDev/template-project 🏘️ Skills: github.com/BaryoDev/skills
#BuildInPublic #AI #SoftwareEngineering #OpenSource #Productivity
