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engineering.

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Why Lines of Code Still Matter When Agents Code

Coding agents are changing productivity metrics. I argue lines of code remains meaningful when measuring agent output - if the quality stays high.

Why Lines of Code Still Matter When AI Writes Your Software

AI coding agents are changing productivity metrics. We need new frameworks to measure what agents actually deliver, and what gets lost in the speed.

When AI Commoditizes Your Product: Lessons from Revenue Decline

How AI-powered alternatives are disrupting SaaS businesses and what indie developers should do about it. A case study in staying ahead of commoditization.

How Cloudflare Freed 100TB of Memory Through Obsessive Optimization

Cloudflare's Big Pineapple DNS cache reduced per-entry memory by 50% through five targeted optimizations. What this teaches us about systems programming.

Why Lines of Code Still Matter for AI-Assisted Development

Exploring how coding agents change productivity metrics, conceptual integrity, and why team structure still matters in the age of AI.

Omarchy 4.0 and the Security Theater We Keep Accepting

A critical look at Omarchy's documented security failures and why marketing alone cannot substitute for fundamental development practices.

Apple's M6 and M5 Ultra: What This Means for AI on Mac

Apple debuts 2nm M6 chip and quad-die M5 Ultra, bringing massive on-device AI compute to the desktop. What it means for developers.

Why Lines of Code Still Matter When Agents Write Them

AI coding agents are changing productivity metrics. When agents can produce 1000 lines of debugged code daily versus 50-200 for humans, LOC becomes meaningful again - but only with discipline.

Lines of Code Still Matter When Agents Write Them

Why measuring productivity by lines of code makes sense with AI coding agents, and the real challenge isn't speed but maintaining conceptual integrity as code grows cheaper to write.

seL4 Reaches Full Arm Support: What This Means for Verified Systems

Proofcraft completes formal verification of seL4 across all Arm platforms, including confidentiality proofs on AArch64. Here's why this matters for security-critical systems.

Lines of Code Still Matter When Agents Write Them

Why measuring productivity in lines of code makes sense for AI coding agents, and what it means for team dynamics and software architecture.

The Cost of Optimization Has Collapsed

AI has reduced the barrier to performance engineering from weeks to minutes. What does this mean for how we build software?

DeepSeek's Vision Model Now Handles Images Like a Boss

DeepSeek's v4-flash-vision-exp adds multimodal image support with three ingestion methods. Here's what it means for your API integrations and token economics.

Lines of Code Still Matter When Agents Write Them

Why measuring productivity by lines of code makes sense for AI coding agents, and why teams still need humans to maintain conceptual integrity.

GitHub's August Outage: What the 7-Hour Failure Teaches Us About Scale

GitHub's 7-hour August outage exposed critical scaling challenges. Here's what the incident reveals about reliability, growth, and the future of developer infrastructure.

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