An Engineer’s Job Is No Longer to Build Features but Systems That Produce Them
Your role is shifting, and so should your mindset. Learn how to stop draining your token budget and get better output from AI coding tools.
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Gemma 4: Half the GPUs, Most of the Quality
Google's new open-weight model matches GPT-OSS 120B on chat at half the hardware cost. Here's what our benchmarks show - and where it falls short.
Tokenmaxxing: From Buzzword to Buzzkill
Find out why chasing AI output volume is costing enterprises millions and what the highest-ROI companies are doing instead.
Internal AI initiative not producing results? (be honest)
Getting real value from AI has little to do with which tools you use and everything to do with the organizational setup.
The Most Dangerous AI Tool Got Breached. What is an Adequate Disclosure Strategy?
Anthropic's handling of the Mythos breach is a useful case study of where disclosure practices for security breaches still need to catch up.
Project Glasswing Proves Frontier AI Can Break – and Fix – Software
Anthropic's Project Glasswing signals a new era where frontier AI hunts vulnerabilities at scale. Here's what security teams need to understand – and do – right now.
Self-Hosting AI Models: A Practical Guide to Building Your Own Stack
Infrastructure decisions, model selection tradeoffs, and performance optimization techniques we encountered while building a self-hosted multi-model inference stack.
From Data to Decisions: How AI-Driven Knowledge Hubs Are Decoding Enterprise Complexity
Discover how we've helped clients across industries turn raw data into actionable insights with AI-powered knowledge hubs.
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Pen Testing, Red Teaming, and Why No Scanner Can Replace Either
Pen testing and red teaming are often used interchangeably. They're not. Here's what each actually does, when you need which, and why automated scanners can't replace either.
Is AI-Generated Code Secure? What Business Leaders Need to Know About AI and Application Security
We asked AI to build three web apps with different levels of security guidance, then tried to break them. Here’s what we found.
Why Model Context Protocols (MCP) Will Define the Next Wave of AI-Enabled Businesses
Organizations are adopting AI fast, but the next step is giving models live data and safe ways to act. Model Context Protocols (MCPs) provide that infrastructure—connecting AI to real-time information and verified actions.
Security Gaps in Vibe-Coded Applications
An evaluation of AI-generated code security found that while detailed security prompts lead to improved outcomes, consistent vulnerabilities and gaps remain even with strict guidance.
From RAG to Riches: Strengthening Your Cloud AI Foundation with Databricks
When AI workloads scale, cloud-native tools fall short on governance, versioning, and observability. Databricks fills those gaps without replacing your cloud.
AI Automation: What It Is and How AI-Powered Workflow Helps Your Business
Discover what AI automation is and how it helps your business boost efficiency, streamline workflows, and make smarter data-driven decisions.
Your Brand Needs a ChatGPT App Strategy, Now
The new era of apps is conversational. ChatGPT-native apps are redefining how users discover, interact with, and transact with digital products, and Infinum is ready to help brands lead this shift.
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What Consumers Really Think About Their Smart Devices
Research reveals which smart devices consumers actually own and enjoy. Explore IoT ownership trends and satisfaction rates in our data-driven analysis.
Smart Connected Devices – Product and Marketing Guidelines
Our research provides actionable product development and marketing guidelines for smart devices based on user personas.
Smart Devices User Personas: Four Types of IoT Consumers
Our research reveals four distinct IoT consumer personas to help you tailor smart device development and marketing strategies for maximum market adoption.
How Consumer Lifestyle Influences IoT Adoption
Our research reveals how different lifestyles dramatically influence smart device adoption – with implications that every IoT product developer should know.
Unlocking the Business Value of IoT Data
As IoT devices generate more data than ever before, the question is no longer how to collect it – but how to use it.