Sampling args in llama-server

Reducing repetition, hallucinations, degradation, while making inference faster!

Jul 1 • Alex Ewerlöf

6

1

June 2026

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

8

8

April 2026

Reliability Engineering for Air-Gapped Systems

Tips and tricks to work around inaccessible observability

Apr 3 • Alex Ewerlöf

4

3

1

March 2026

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

February 2026

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

January 2026

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

December 2025

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