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688 writings found
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Alexa Plus Adopts Model Context Protocol to Expand Smart Home Control
Amazon's AI assistant now uses open standards to connect with more smart home devices and services. What this means for the future of AI integration.
Cloudflare's Cache Response Rules: The Missing Piece in CDN Architecture
Cache Response Rules let you modify origin responses before caching. I break down why this response-phase control matters for developers managing CDN performance and cost.
Building Custom Metrics Exporters for Kubernetes Autoscaling
Learn how to write Prometheus exporters from scratch to expose application-specific metrics that drive intelligent Kubernetes autoscaling decisions beyond CPU and memory.
OpenAI's ChatGPT Health Goes Public: What Developers Need to Know
OpenAI launches ChatGPT Health nationally with claims of clinician-level reasoning. What does this mean for healthcare tech and AI responsibility?
AWS C7a Instances: What the 50% Performance Jump Means for You
AWS launches C7a compute instances with 4th Gen AMD EPYC processors. I break down what this means for performance-critical workloads and your cloud strategy.
AWS C7a Instances: What the 50% Performance Jump Means for Developers
AWS launches C7a compute instances with 50% better performance, DDR5 memory, and 128 EBS volume support. Here's why it matters for your workloads.
Yope's $12.3M Bet on Algorithm-Free Social Media
A London startup is challenging Meta and TikTok with private, AI-native social networks. What it means for the future of social platforms.
Google's Flash Models Show How Efficiency Beats Raw Power in AI
Gemini 3.6 Flash and 3.5 Flash-Lite prove that token efficiency and lower latency are what production AI agents actually need. Here's what it means for developers.
How Anthropic Ships Features in the Age of Coding Agents
Cat Wu and Thariq Shihipar reveal how Anthropic's product team ships 10x faster with Claude Code and Claude Tag, and what that means for engineering priorities.
Meta's Hierarchical Interest Representation: What It Means for Ad Tech
Inside Meta's new representation learning system that maps user intent across billions of entities. A deep dive into graph learning at scale.
Grabette: Making Robot Learning Data Collection Accessible
An open-source handheld gripper system that lets anyone record manipulation demonstrations for robot training, democratizing data collection beyond expensive labs.
Chinese AI Models Are No Longer a Surprise
DeepSeek wasn't an outlier. Moonshot and Alibaba's new models signal China's AI capabilities have matured. What this means for developers and the market.
AI's Role in Biosecurity: A Developer's Guide to Responsible Deployment
Google DeepMind and Isomorphic Labs outline how frontier AI models can prevent biosecurity threats while enabling rapid pandemic response and drug discovery.
Kimi K3 and the limits of the pelican benchmark
Moonshot AI's 2.8T parameter model is impressive, but my 21-month-old SVG test reveals why we need better ways to evaluate frontier AI models.
Open Source Just Hit $100M in Funding. What It Means for Developers
GitHub Sponsors crossed $100 million in contributions to open source maintainers. Here's why this milestone matters and what it signals about the future of sustainable OSS.