Computing
Non-AI computing: networks, servers, hardware, software engineering, and digital security and privacy.
#1945: The "USB-C for AI" Is Finally Here
MCP standardizes how AI tools connect to data, solving the N-times-M integration nightmare.
#1944: PostgreSQL: The Thirty-Year Miracle
How does a volunteer-run database power the New York Stock Exchange and survive every tech trend without burning out?
#1943: The Invisible Math Shrinking AI Models
LZMA, Zstandard, and Brotli are shrinking massive AI models, but how do they actually work?
#1941: Why You Can't Zigbee-Wi-Fi Your House
The "mesh" promise fails when you hit the coordinator bottleneck. Here's why multiple hubs don't work like Wi-Fi.
#1940: Why Google's 31B Model Fits in Your GPU
Google just dropped Gemma four, and its 31-billion-parameter size is a masterclass in hardware-aware AI design.
#1939: API Drift and Agent Reliability
When an API changes without warning, your AI agent can crash spectacularly. Here's how to test the new "plumbing" of the agentic age.
#1938: JSON-to-SQL Type Mapping: A Practical Guide
Mapping JSON to SQL isn't as simple as it looks. Discover the hidden traps in data types that can cause performance hits and data corruption.
#1937: Debunking Battery Myths: Memory Effect and the 80% Rule
The "memory effect" is dead. Here's why charging to 80% is the new rule for phone and EV battery longevity.
#1934: Why Pro Routers Still Won't Touch Your Light Bulbs
Your Wi-Fi 7 router handles everything except smart home radios. Here’s why the “one box” dream is still stuck in 2026.
#1933: Building a Phone Chain to Signal Underground
Old phones can create a lifeline when signals fail, but physics and hardware impose harsh limits.
#1932: How Do You QA a Probabilistic System?
LLMs break traditional testing. Here’s the 3-pillar toolkit teams use to catch hallucinations and garbage outputs at scale.
#1931: Where Your AI Pipeline Actually Dies
Why do AI pipelines crash? It’s not the models—it’s the plumbing. We break down how to manage data between stages.
#1929: From Vibe Checks to Model Metrics
We stopped "vibe-checking" our AI scripts and built a science fair for models. Here's how we grade them.
#1928: Why Webhook Gateways Beat Direct Wiring
Unscale your chaos: Why Kong beats manual webhook sprawl for auth, routing, and latency.
#1927: Workers vs. Servers: The 2026 Compute Showdown
Is the persistent server dead? We compare Cloudflare Workers, GitHub Actions, and VPS options for modern app architecture.
#1926: How We Built a 2,000-Episode AI Podcast Engine
We pulled back the curtain on the tech stack behind our 1,858th episode. From Gemini to LangGraph, here’s how we automate quality.
#1925: The Plumbing That Keeps Science From Collapsing
Half of all links in academic papers are dead. Here’s the plumbing that keeps knowledge from vanishing.
#1924: Ending the Manual Update Loop
Stop manually copying files. Learn how to host your own authenticated repositories for .deb and APK files using simple static web servers.
#1923: Scaling Prosumer Automation to Enterprise
Prosumer tools like n8n break at scale. Here's why durable execution frameworks like Temporal and Prefect are the enterprise upgrade.
#1921: The Three-Second Heartbeat That Keeps Israel Safe
Why a civilian website sends an empty JSON payload every three seconds, even during peacetime, and what it reveals about mission-critical architect...