A chronological collection of insights on technical specification, product strategy, and AI-driven documentation.
Decision trees, built from simple nested if/else rules, remain a powerful and interpretable tool for modeling complex patterns—especially on structured tabular data and in regulated domains—even as large language models dominate the spotlight.
Microgpt is a ~200-line pure Python implementation of a GPT-style language model by Andrej Karpathy. It compresses the complexity of transformers into an executable, dependency-free script that helps engineers understand tokenization, attention, training loops, and inference while improving debugging, evaluation, and architecture decisions.
Google DeepMind’s Gemini 3.1 Pro dramatically advances reasoning, coding, and multimodal capabilities, achieving 77.1% on ARC-AGI-2 and supporting 1M-token contexts for complex, agentic workflows.
Claude Sonnet 4.6 is Anthropic’s default, production-ready model for everyday engineering work, combining strong coding performance, improved instruction following, extended reasoning, and a 200k token context at practical prices.
OpenAI’s GPT-5.3-Codex-Spark is a speed-optimized coding model co-developed with Cerebras, delivering over 1,000 tokens per second and a 128k context window for rapid, interactive software development.
Anthropic’s Claude Opus 4.6 introduces a 1M-token context window, adaptive reasoning, and configurable effort levels, setting new benchmarks in agentic AI performance and efficiency.
OpenAI’s Codex app brings project-based agent management, a skills framework, background automations, and sandboxed security to macOS as part of ChatGPT paid plans.
Engineering teams often optimize for faster coding while ignoring the real bottleneck: review queues, approvals, and handoffs. Each added review layer can multiply wall-clock latency, neutralizing gains from AI and better tools. This post explains why that happens and how to recover using quality-by-construction and trust-based systems.
Claude Cowork is Anthropic’s new AI agent built into Claude Desktop that brings Claude Code’s agentic power to everyday office workflows, with folder-based access control, natural language instructions, and autonomous task execution.
An overview of the Ralph Wiggum Technique, a 2025-era approach to running autonomous AI coding agents in continuous loops, its timeline, core insights, and philosophical implications.
