code
AI-Assisted Coding — Deep Dive
From code completion to autonomous agents — how AI is transforming software development from the inside out.
Co-Created by Kiran Shirol and Claude
Topics
Code LLMs
Agent Loop
Context Engineering
Vibe Coding
AI Security
home
Learning Portal
play_arrow
Start Learning
dictionary
Glossary
summarize
Key Insights
14 chapters
· 5 sections
Section 1
Foundations — How Code AI Works
The revolution, LLM mechanics, training, and the tool landscape.
1
bolt
The AI Coding Revolution
84% adoption, 3 eras, and why this changes everything about how we write software.
arrow_forward
Learn
2
token
How Code LLMs Work
Tokenization, Fill-in-the-Middle, context windows, and next-token prediction for code.
arrow_forward
Learn
3
model_training
Training Code Models
Pre-training on repos, FIM augmentation, instruction tuning, RLHF, and benchmarks.
arrow_forward
Learn
4
landscape
The AI Coding Landscape
IDE plugins vs CLI vs cloud agents — categories, capabilities, and how to choose.
arrow_forward
Learn
Section 2
Mechanics — Under the Hood
Code completion internals, the agent loop, and context engineering.
5
edit_note
Anatomy of Code Completion
Debounce, context retrieval, speculative decoding, ghost text, and the feedback loop.
arrow_forward
Learn
6
psychology
The Agent Loop
ReAct cycle, tool calling, context injection, checkpoints, and permissions.
arrow_forward
Learn
7
layers
Context Engineering
8 context layers, rules files, “lost in the middle,” and feeding AI the right info.
arrow_forward
Learn
Section 3
Workflows — Practical Patterns
Prompting, vibe coding, and multi-file refactoring with AI.
8
terminal
Prompt-Driven Development
Three-layer framework, task decomposition, patterns, and iterative refinement.
arrow_forward
Learn
9
music_note
Vibe Coding Workflows
Define-Scaffold-Build-Debug-Ship, when to vibe vs. when to be disciplined.
arrow_forward
Learn
10
account_tree
Multi-File & Agentic Refactoring
Dependency mapping, Git worktrees, parallel agents, and safe rollback.
arrow_forward
Learn
Section 4
Quality & Safety — Ship with Confidence
Testing, security risks, and the discipline that separates pros from amateurs.
11
science
AI-Assisted Testing & Debugging
TDD + AI, code-test-fix loop, debugging patterns, and multi-layer verification.
arrow_forward
Learn
12
shield
Security & Quality Risks
OWASP Top 10, supply chain attacks, hallucinated deps, and secrets exposure.
arrow_forward
Learn
13
star
Best Practices & Pitfalls
Skill atrophy, review discipline, team practices, and the 10 commandments.
arrow_forward
Learn
Section 5
What’s Next — The Future
Multi-agent teams, autonomous coding, and the evolving developer role.
14
rocket_launch
The Future of AI-Assisted Development
Multi-agent teams, autonomous coding, your action plan, and the one principle.
arrow_forward
Learn
explore
Explore Related Courses
psychology
Agentic AI
Planning, Memory & Tool Use
token
How LLMs Work
Transformers & Attention
terminal
Prompt Engineering
Advanced Techniques
shield
AI Security
Threats & Defenses
cable
Model Context Protocol
Tool Integration & Standards