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The Bottleneck in Supply Chain Security Has Moved
The Prompt Won't Save You: Three Objections, Three Tests
AI Is Rewriting The Engineering Job Description
The Frontier Isn't Special: Claude Fable 5 and Hiring Bias
When Prompts Are Not Enough: A Field Guide to Reliability
Claude Certified Architect (Foundations) Exam: A Study Guide and How I Passed
Writing Code Was Never the Bottleneck
Why AI Adoption Is a Leadership Problem
AI Native DevCon London 2026: Our Recap
Good Ideas Should Not Need Good Marketing to Survive
AI Native DevCon: We're Sponsoring!
EEEG: A Substance Test for Content in the AI Era
I taught an AI my photography style on a $250 GPU
The Spec Is the Attack Surface: Prompt Injection and Drift in Agentic Coding Tools
Why We Teach Agentic Coding Backwards
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Engineering Velocity Is Unlocked. Now What?
AI-Generated Code in Production: Validation, Accountability, and What Still Needs to Be Built
Why Your Engineers Are Resisting AI — And What To Do About It
Wave: Bringing Determinism Back to AI-Assisted Development
Simple Tools, Smarter Agents
AI Native Netherlands Hits Its Biggest Meetup Yet
How We Moved 100 Developers to Agentic Coding in Six Weeks
Lore: Shared Context Infrastructure for Claude Code
Agents, Correctness, and the Development Process That No Longer Fits: A London Roundtable on Enterprise AI
Building a Privacy Gateway for German Lawyers
Do You Still Need Software Developers?
Measuring AI Agent Quality When You Can't Freeze the Data
What Building a CFO Agent Taught Us About Spec-Driven Development
From Fear to Implementation: A Zurich Roundtable on Enterprise AI in 2026
The Autocompact Cliff: Why Your 200K Context Window Is Lying to You
Building Software Factories: The Blueprint for AI-Native Delivery
You Can't Transform What You Can't Read
Running MiniMax M2.5 Locally with Claude Code
Running MiniMax M2.5 Locally on NVIDIA DGX Spark
Your Engineering Org Is a Prompt Now
From the Prototype to Production: An Amsterdam Roundtable on AI in 2026
The "Ralph Wiggum Method": Why I Built an Infinite Loop on Purpose
Multi-Agent Orchestration: BMAD, Claude Flow, and Gas Town
Meet Reachy Mini: Building an AI-Powered Conference Badge Reader
AI Safety Tools Are Broken. Here's What Actually Works
Don't Blame the AI: The Real Reason 95% of GenAI Pilots Are 'Failing'
Building an AI Email Assistant with n8n and Gemini
Building an Automated AI News Digest with n8n and Google Vertex AI
Slack-to-Atlassian AI Chatbot with n8n and MCP
What is AI Native and why should I care?
Agents in Dialogue Part 1: MCP for AI Tool Access
Agents in Dialogue Part 2: Agent Communication Protocols
Agents in Dialogue Part 3: Google's A2A Protocol
Designing and Managing Modern Hybrid Cloud Ecosystems
Solve Your Toughest AI & Kubernetes Challenges Join Us at KubeCon!
GPU Acceleration for AI: Building Robust Platforms with AI Engineering
Leverage, Optimize, Own: A Practical AI Native Strategy
Llama and DeepSeek with LibreChat for Conversational AI
Driving IT Accountability and AI Efficiency
Overcoming Key Kubernetes Onboarding Challenges
Accelerating AI Initiatives with Purpose
The Great VMware Exodus: Your Guide to a Broadcom-Free Future
Tanzu Transformations: Escaping Licensing Extortion
The Rise of Agentic AI: A Deep Dive
Startup life – Our first year
Maximizing ROI in Platform Engineering
AI Platform Engineering Reference Architecture
Platform Engineering Reference Architecture
The Agile Trap: When Efficiency Trumps Flexibility in the Cloud
The Evolving Landscape of Large Language Model (LLM) Architectures
What are Large Language Models and Key Terminologies
Want to Innovate? Let Someone Else Handle the Boring Work.
Reaching Cloud Native Maturity: From Adoption to Mastery
AI Engineering, Platform Engineering for AI
Stuck in the Middle? Reach Operational Excellence with Cloud Native
Platform Engineering: Enhancing Cloud-Native and AI Capabilities
Platform Engineering in AI Native and Cloud Native
The Power of Cloud Native: A Beginner's Guide
From Adoption to Mastery: Reaching Cloud Native Maturity
Scaleway k8s with google OIDC provider
Lean Software Development: Reducing Agile's Environmental Impact
Startup life – Our first six month
Just 2% More? Could Climate Change Be That Easy?
Calculating Cloud VM CPU Carbon Emissions
Greening your K8s Workloads
The Hidden Cost of IT Emissions: Why Companies Must Act Now
Green Data Centres: Data at Scale, Impact at Zero?
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Bridging The Gap - Bringing Sustainability to SRE
Follow the Sun: Greening the IT Landscape, One Sunrise at a Time
No More Greenwashing? 4 Things to Consider If You Work with Software.
Beyond DevOps and Delivery: Embracing Sustainability in IT
Energy Proportionality and the Promise of Greener Systems
McKinsey 2023 Report: Integrating Sustainability in Business Strategy
A Christmas Tree Carbon Story
Beyond the Code: Carbon Impact of Large Language Models (LLMs)
Pathfinder Framework: Streamlining ESG Scope 3 Emission Tracking
`Perf`-icient Measuring of Laptop Energy Consumption and CO2e
Startup life – Our first month
Green Metrics: Enhancing Code Efficiency with Sorting Algorithms
Embodied Carbon in IT: Impact and Management Strategies
Node Sizing: Key to Energy-Efficient Computing
Optimizing Code Efficiency: Sustainability & Big O Notation

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re:cinq is an engineering consultancy helping medium and large organizations adopt AI across software development: building software factories, training teams, and modernizing legacy systems.

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The re:cinq Blog

29 May 2026

The Blind Spot in the Machine: What 25,500 LLM Evaluations Reveal About AI Hiring Bias

An audit of 25,500 LLM resume evaluations across ten models tied nearly half the score differences to demographic bias, not work experience.

Bogdan SzaboSenior Engineer

The Blind Spot in the Machine: What 25,500 LLM Evaluations Reveal About AI Hiring Bias

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