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A data-driven retrospective of one month of high-intensity AI-assisted engineering: 466 sessions, 55,224 turns, 1,772 decisions extracted from raw chat logs into a durable knowledge graph. Built the day before Anthropic announced 'dreaming' as a feature.
Read moreIf your Lens recaps come out cluttered with reasoning preambles or hallucinated detail, the fix is almost always upstream of Lens. A field guide to picking a model and configuring LM Studio for clean daily snapshots.
Read moreI gave a year of Adafruit Clue environmental data to Gemini, GPT-5.4, GPT-5.5, and Claude Opus 4.7. Same prompt, same dataset, four very different answers — and only one of them asked for more data.
Read moreI spent most of a day in a stalled debug loop with one AI model before opening a fresh session with another. The lesson wasn't about which model is smarter — it was about going upstream.
Read moreApple just put two hardware engineers at the top of the company. The cloud labs are quietly losing money on their best customers. From inside a hybrid practice, here's what the local share looks like and why it's growing.
Read moreI assumed a specialized vision model would win. I was wrong. A head-to-head on a hard handwriting corpus ended with the general-purpose MoE on top.
Read moreHow I run a multimodal LLM on four-year-old hardware to read a family archive without sending anything to the cloud.
Read moreI have three collections of family letters spanning a century. Until recently, reading them properly would have taken years. Now it takes an afternoon.
Read moreVannevar Bush described the memex in July 1945. It took 80 years to become buildable, because it required two things that didn't coexist until now: cheap private AI, and the conviction that data ownership is the last real moat.
Read moreFrameworks are inevitable. They emerged for Ruby, Python, and PHP. Now they're emerging for agentic development. Here's the one that evolved on my workbench — and what it taught me about working with AI.
Read moreAI agents are only as good as the information they can find. Context architecture is the skill of building structured environments where agents reliably retrieve exactly what they need.
Read moreThe highest-demand AI skill in 2026 isn't coding. It's writing instructions so precise that a machine can't misinterpret them.
Read moreSix months of surviving as a one-person engineering team produced something I didn't expect: a layered AI operating system that grew organically from daily necessity.
Read moreWhen AI can use the same tools you use — Jira, GitHub, Sentry, GCloud — everything about the software development lifecycle changes. Not because AI writes the code. Because it eliminates the waste around the code.
Read moreEight months after writing about AI-powered development, the landscape has changed so dramatically that the original piece reads like a dispatch from another era. Here's what the work actually looks like now.
Read moreThe role of the software engineer is changing. What happens when one person with AI agents can cover the ground that used to require a full team?
Read moreWhat collaborating with AI in software development actually looked like in mid-2025 — the workflow, the lessons, and the mindset shift from writing code to orchestrating it.
Read moreBuilding a CircuitPython + Python environmental data logger on the Adafruit Clue — from BLE ambitions to a USB Serial pivot to a pywebview gateway with live charts. Originally posted on officeofadamthede.com.
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