FROM THE NOTEBOOK
Agents, context, cloud engineering, and the occasional hard-earned opinion.
Also in the notebook: learning Rust →17 articles
Peer-reviewed studies, federal assessments, and official Navy programs make the case for fast-tracking older, mid-career AI, cyber, and cloud professionals into direct-commission reserve roles.
career / ai / cybersecurity / cloud / navy-reserve / national-security
After reviewing my agent debug logs, I realized how much context I was wasting. Here is what I found and what I am doing about it.
context-engineering / github-copilot / ai-agents / productivity
A brutally honest and mildly humorous breakdown of Claude Opus 4.6, Claude Sonnet 4.6, Haiku, GPT 5.4, GPT 5.3 Codex, and Gemini 3.1 Pro — their strengths, quirks, and the one that implements your feature before you finish asking.
ai-models / claude / openai / gemini / developer-productivity / humor
I asked the AI agents I use daily to assess my working style, cross-referenced their observations against three recent whitepapers, got implementation advice, then fact-checked the advice against the actual docs — and then discovered I'd been ignoring how my three different AI tools read completely different instruction files. Five passes, multiple corrections, and a live demonstration of why you should never trust a confident AI summary without checking the source.
ai-agents / context-engineering / productivity / github-copilot / claude / agentic-ai / self-improvement
I have reached the point where I would rather let Rust punish bad thinking at compile time than let dynamic languages punish me later in production. After an Exa search through recent Rust comparisons and engineering writeups, I finally understand why Rust developers are so passionate.
rust / systems-programming / performance / software-engineering / programming-languages / developer-experience
Cursor Automations, 95% weekly AI adoption, and the real differences between Copilot, Claude Code, Cursor, and Windsurf — plus how to stop drowning in the pace of change.
ai-tools / github-copilot / claude-code / cursor / developer-productivity / career
My friend Lamia Youseff wrote a brilliant piece on education in the AI era. As an AI engineer with 25+ years in tech—and a parent with a CS freshman and a midshipman at the Merchant Marine Academy—I took her framework and pressure-tested it against what my sons are actually getting.
ai-education / computer-science / career-advice / ai-fluency / higher-education / experiential-learning
I ran an Exa MCP search on Rust in agentic systems and came away with a simple conclusion: for long-running, tool-heavy agents, paying more development tax up front can buy back reliability, latency, and operating efficiency later.
rust / ai-agents / agentic-ai / performance / systems-programming / software-engineering
How to review GitHub Copilot Chat and CLI sessions like an engineer: inspect logs, find poor techniques, use the newest VS Code and GitHub features, and turn repeated mistakes into better agent workflows.
github-copilot / vscode / github-cli / ai-agents / context-engineering / debugging / productivity
A research synthesis on agent orchestration and context engineering best practices from Google, OpenAI, GitHub, and independent production teams. Includes a concrete step-by-step guide to implementing these patterns in a VS Code workspace.
ai-agents / context-engineering / prompt-engineering / agentic-ai / github-copilot / google-adk / openai / mcp / self-improving-agents
A hands-on guide to structuring your VS Code repository so GitHub Copilot agent mode actually works. Covers the six-layer context stack, custom agents, skills, MCP servers, tool sets, and self-improving workflows—with every file you need to create.
vscode / github-copilot / context-engineering / ai-agents / mcp / agent-mode
How I built an accessibility-first VS Code color theme inspired by great white sharks, using custom Copilot agents to enforce WCAG contrast, sync six theme variants, and style the emerging agentic coding experience.
vscode / accessibility / ai-agents / developer-tools / open-source
The AI landscape is moving fast, but the underlying engineering isn’t magic. Here is a practical guide on how developers can stay relevant by focusing on agent architecture, tools, and reliability.
ai-agents / agentic-ai / mcp / github-copilot / software-engineering / career
How I leveraged VSCode Insiders Agent Mode and WSL to overcome Cursor failures and streamline Python environment management.
vscode / python / development / agent-mode / troubleshooting
Learn how GPT Actions let you customize ChatGPT to call APIs and connect with external apps using natural language.
Learn what MCP is, why it matters, and how you can easily use it to connect AI systems to your data and tools in 2025.
Practical strategies to keep your skills sharp in the rapidly evolving AI era - from AI agents to vibe coding.
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