Description

Technical Leadership, Reliability Engineering, Growth

Total Posts: 51
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Latest Posts

AI Reliability Engineering

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

4 (4)
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4 clicks (4 unique)
5 days ago

Sampling args in llama-server

Sampling args in llama-server

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

17 (17)
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2 weeks ago

LinkedOut

LinkedOut

An open source extension to recreate LinkedIn from your data exports

6 (6)
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6 clicks (6 unique)
2 weeks ago

Using local LLMs for agentic coding

Using local LLMs for agentic coding

AI honeymoon pricing is over, but your work is not

28 (28)
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1 month ago

Reliability Engineering for Air-Gapped Systems

Reliability Engineering for Air-Gapped Systems

Tips and tricks to work around inaccessible observability

21 (21)
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3 months ago

Github Copilot vs Google Antigravity

Github Copilot vs Google Antigravity

Why Github gets developers and why it's hard to tell who Antigravity is for

18 (18)
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3 months ago

AI firewall

AI firewall

How to protect your AI application in production against new classes of attacks

16 (16)
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4 months ago

OWASP Top 10 Agents & AI Vulnerabilities (2026 Cheat Sheet)

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

23 (23)
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4 months ago

RAG vs SKILL vs MCP vs RLM

RAG vs SKILL vs MCP vs RLM

Comparing various techniques to make the models more reliable while working around context window limitation

19 (19)
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4 months ago

Multi-Agent System Reliability

Multi-Agent System Reliability

4 patterns to tame multi-agent systems for reliability

22 (22)
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4 months ago

AI Fluency Leveling

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 guide provides a roadmap for mastering RAG, context engineering,...

21 (21)
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5 months ago

Foundation vs. Instruct vs. Thinking Models

Foundation vs. Instruct vs. Thinking Models

A Senior Engineer’s Mental Model for AI

23 (23)
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6 months ago

Emergent properties

Emergent properties

What are nominal, weak and strong emergent properties and how to identify and mitigate their negative impact in system design?

21 (21)
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7 months ago

AI Systems Engineering Patterns

AI Systems Engineering Patterns

30 techniques from conventional system engineering to supercharge AI Engineering

20 (20)
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7 months ago

3 levels of writing

3 levels of writing

A leveling model to use writing for thinking, communication, and innovation

21 (21)
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7 months ago

Fitting parts

Fitting parts

What does it mean? How is it abused? And how to work around the pitfalls?

23 (23)
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8 months ago

AI topology

AI topology

Cloud AI, Edge AI, Local AI, and Hybrid AI

28 (28)
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8 months ago

Introducing: Local Browser AI

Introducing: Local Browser AI

Using the new Prompt API for local chat in the browser

29 (29)
1 views (1 unique)
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9 months ago

SLI Evolution Stages

SLI Evolution Stages

How to dodge vanity metrics and measure the right service level indicator and why?

25 (25)
1 views (1 unique)
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10 months ago

SLI Compass: Fidelity and Granularity

SLI Compass: Fidelity and Granularity

A Mental Model to Assess Existing SLIs and Evaluate New Ones. We discuss 2 dimension: fidelity shows how closely your SLI is measuring the user experience, granularity shows how many...

34 (32)
1 views (1 unique)
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11 months ago