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Kiro

12 posts · all tags · all posts

2026

  1. My Agent's Rulebook Was an Accidental Threat Model

    TL;DR: Almost every safety rule in my personal agent setup got written the day after something went wrong. I ran the whole setup through Shostack’s Four Question Framework (what are we working on, …

    SecurityAIAgentsCodingAgentsKiroVerificationThreatModeling

  2. Understanding Is the New Bottleneck — and Your AI Agent Can Fix It

    TL;DR: In AI coding the hard part is no longer writing the code, it is understanding the code the agent wrote well enough to keep steering. Geoffrey Litt’s framing is that the human job shifts from …

    AgenticAIAICodingDeveloperExperienceKiroLLMs

  3. Stop Guessing Which Coding Agent to Use — Benchmark It on Your Own Tasks

    TL;DR: Generic coding-agent leaderboards don’t tell you which model or tool fits your work at a budget you’re willing to spend. So I built a small task set that mirrors my real work and ran an …

    AICodingAgentsKiroAmazonBedrockBenchmarking

  4. How My Setup Learns While You Sleep

    TL;DR: The thing that makes an agent get better over time is a loop, and the loop is the same whether you buy it or build it: capture raw interaction, consolidate it on a schedule, and keep the lesson …

    AgenticAIAgentMemoryAgentCoreKiroSkills

  5. The Other Half of Two-Pizza

    TL;DR: Werner Vogels’ “A return to two-pizza culture” describes how a coding agent let one scientist prototype Amazon Quick Desktop overnight, and how ownership culture carried it from there. Reading …

    AgenticAIKiroProductivityWorkingBackwardsOwnership

  6. CLI vs MCP, Part Two: The First Gap Just Closed

    TL;DR: In March I argued the CLI vs MCP debate was the wrong debate, and that the CLI’s advantages were a temporary artifact of training data, not a law of physics. One of those advantages was …

    AgenticAIMCPDeveloperToolsKiroArchitecture

  7. Architecting Skills: How Code Makes AI Agents More Reliable Over Time

    TL;DR: An agent skill starts life as a markdown file full of instructions. It works, sometimes. Then you watch it fail in ways that are hard to predict, and you notice a pattern: the steps that break …

    AgenticAISkillsReliabilitySoftwareEngineeringKiro

  8. AI-Assisted Talk Prep: The Recording-Analysis-Iterate Loop

    TL;DR: I prepared my AWS Summit Hamburg talk through 6 recorded dry runs, each analyzed by a structured AI skill. The skill transcribes via Amazon Transcribe, counts fillers with word-level …

    AIPublicSpeakingProductivityAgenticAIAWSKiro

  9. Code Quality Is the New Infrastructure

    Ten talks. Ten practitioners from different companies, Anthropic, Google, HashiCorp, Thoughtworks, Answer.AI, Factory, and independent creators. All landed in the same place. I can’t prove they didn’t …

    CodeQualityAgenticCodingSoftwareEngineeringAITDDKiro

  10. Hackathon Gamification: A Real-Time Leaderboard You Can Deploy in 5 Minutes

    Lisbon, 6 AM, Rising Sun Lisbon at dawn, the best way to start a hackathon day Three days in Lisbon. Not for sightseeing, though the city makes that hard to resist. I’m here for an AI hackathon, teams …

    AIAmazonBedrockHackathonKiroVibeCodingOpenSource

  11. CLI vs MCP: The Wrong Debate

    The Zombie Processes and the 50GB Cache A few weeks ago, I noticed my MacBook was sluggish. I found orphaned MCP server processes that had failed to shut down cleanly, a problem Didier Durand …

    AgenticAIMCPDeveloperToolsKiroAIArchitecture

  12. The Coding Agent That Doesn't Code

    The Friday That Wrote Itself Last Friday, I used a coding agent for eight hours straight. I didn’t write a single line of code. I prepared a customer meeting by pulling context from Slack threads, …

    AgenticAIKiroProductivityCodingAgentsWorkflowAutomation