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The Top 11 Ways to Easily Improve Your AI Applications
AI Software Demands a New Approach
Oct 9
•
Hugo Bowne-Anderson
and
Hamel Husain
19
3
AI Workflows vs Agents: The Autonomy Slider
What only the top 10% AI engineers who ship think about
Oct 7
•
Paul Iusztin
45
7
Important Recap and What's Next
Past series and our new one on AI Agents. Everything open-source!
Oct 2
•
Paul Iusztin
13
2
September 2025
From Beginner to AI/ML Pro in 2025
The step-by-step roadmap that gets you hired
Sep 30
•
Paolo Perrone
96
8
Introducing Decoding AI Magazine
New name, same mission: building real-world AI.
Sep 25
•
Paul Iusztin
39
4
AI Agents in 5 Levels of Difficulty
With full code implementation
Sep 23
•
Paolo Perrone
64
3
The 5-Star Lie: You Are Doing AI Evals Wrong
Why binary evals are better than likert scales
Sep 20
•
Hamel Husain
40
9
The Mirage of Generic AI Metrics
Why off-the-shelf evals sabotage your AI product
Sep 13
•
Hamel Husain
58
7
Getting Agent Architecture Right
Designing real-world AI agents with MCP without burning your time, money, and SANITY.
Sep 6
•
Anca Ioana Muscalagiu
70
10
August 2025
Build with MCP Like a Real Engineer
Hands-on code for an enterprise AI PR Reviewer by unifying GitHub, Slack, and Asana through MCP.
Aug 30
•
Anca Ioana Muscalagiu
98
6
Why MCP Breaks Old Enterprise AI Architectures
Build from scratch an AI PR reviewer integrated with GitHub, Slack and Asana that scales within your organization.
Aug 19
•
Anca Ioana Muscalagiu
111
10
The Real Battle-Tested RAG Playbook
7-steps trusted by OpenAI, Anthropic & Google
Aug 12
•
Jason Liu
92
3
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