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AI Reliability Engineering
Why SRE is a key skill in the age of AI-generated black boxes and how to renovate the traditional toolbox for the new era
Jul 12
•
Alex Ewerlöf
16
4
2
Sampling args in llama-server
Reducing repetition, hallucinations, degradation, while making inference faster!
Jul 1
•
Alex Ewerlöf
6
1
LinkedOut
An open source extension to recreate LinkedIn from your data exports
Jun 28
•
Alex Ewerlöf
14
2
4
Using local LLMs for agentic coding
AI honeymoon pricing is over, but your work is not
Jun 4
•
Alex Ewerlöf
46
10
8
Github Copilot vs Google Antigravity
Why Github gets developers and why it's hard to tell who Antigravity is for
Mar 22
•
Alex Ewerlöf
8
11
2
AI firewall
How to protect your AI application in production against new classes of attacks
Mar 15
•
Alex Ewerlöf
14
1
OWASP Top 10 Agents & AI Vulnerabilities (2026 Cheat Sheet)
A pragmatic engineering guide and cheat sheet for the OWASP Top 10 AI, OWASP Top 10 LLM, and OWASP Top 10 Agents vulnerabilities
Mar 10
•
Alex Ewerlöf
18
4
RAG vs SKILL vs MCP vs RLM
Comparing various techniques to make the models more reliable while working around context window limitation
Feb 25
•
Alex Ewerlöf
42
1
6
Multi-Agent System Reliability
4 patterns to tame multi-agent systems for reliability
Feb 19
•
Alex Ewerlöf
28
4
6
AI Fluency Leveling
Transition from prompt "engineering" to AI system architecture with this 7-step AI fluency framework. Designed for software engineers and SREs, this…
Jan 30
•
Alex Ewerlöf
43
5
7
Foundation vs. Instruct vs. Thinking Models
A Senior Engineer’s Mental Model for AI
Dec 24, 2025
•
Alex Ewerlöf
17
Emergent properties
What are nominal, weak and strong emergent properties and how to identify and mitigate their negative impact in system design?
Dec 5, 2025
•
Alex Ewerlöf
15
5
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