Tempered AI

Forged Through Practice, Not Hype — Two learning paths: master AI-assisted coding or build AI systems.

Choose Your Path

Assisted Developer Using AI: Levels 1-3. Master Copilot, Cursor, and Claude Code. Learn context curation, safety, and agent supervision. ~6 hours.

AI Engineer Building AI: Levels 4-6. Master RAG, embeddings, tool calling, and agentic architecture. Build AI-powered applications. ~10 hours.

Why Two Tracks?

Using AI tools and building AI systems are distinct skill sets. A developer using GitHub Copilot doesn’t need to understand cosine similarity, but they desperately need to know context management. We separate these tracks to prevent cognitive overload and respect your time.

Track	Focus	You Will Learn
Assisted Developer	Using tools effectively	Context curation, model routing, agent supervision, safety
AI Engineer	Building with AI	Embeddings, RAG, tool calling, guardrails, evaluation

Key 2025 Findings

90% Adoption

90% of developers now use AI coding tools (DORA 2025)

45% Security Risk

45% of AI-generated code introduces security vulnerabilities (Veracode 2025)

~30% Acceptance

Around 30% acceptance rate is the healthy benchmark (GitHub/Accenture)

88% Retention

88% of AI-generated code is retained in final submissions

Explore

Full Assessment 87 questions across 12 dimensions with personalized recommendations. ~15 min.

Simulation Mode In a hurry? Drag sliders to see how scores trigger recommendations. ~2 min.

16 Core Concepts RAG, guardrails, structured outputs, agent architectures, and more.

10 Hands-On Exercises Debug hallucinations, design schemas, implement RAG pipelines.

Expert Conversations Real dialogues on context curation, model selection, agent supervision.

3 Decision Comparisons RAG vs fine-tuning, LangChain vs custom, chat vs agent.

Sources & Methodology 97 cited sources. Every claim backed by research and industry reports.

Tempered AI — Forged Through Practice, Not Hype

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