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<title>Tony Koo Research</title>
<link>https://lmdlifers.github.io/TonyKoo/research/</link>
<description>Essays on machine learning, agentic systems, cloud architecture and decisions under uncertainty.</description>
<language>en</language>
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<item><title>How coding agents find and change code</title><link>https://lmdlifers.github.io/TonyKoo/research/how-coding-agents-find-and-change-code.html</link><guid isPermaLink="true">https://lmdlifers.github.io/TonyKoo/research/how-coding-agents-find-and-change-code.html</guid><description>A useful coding agent narrows the search, checks its evidence, edits within a boundary and proves the patch worked.</description><pubDate>Fri, 16 Oct 2026 16:00:00 GMT</pubDate></item>
<item><title>From specification to verified release</title><link>https://lmdlifers.github.io/TonyKoo/research/from-specification-to-verified-release.html</link><guid isPermaLink="true">https://lmdlifers.github.io/TonyKoo/research/from-specification-to-verified-release.html</guid><description>A clear specification, reviewed plan and layered tests turn an agent run into an accountable software change.</description><pubDate>Fri, 16 Oct 2026 16:00:00 GMT</pubDate></item>
<item><title>When an ML model is ready for production</title><link>https://lmdlifers.github.io/TonyKoo/research/when-an-ml-model-is-ready.html</link><guid isPermaLink="true">https://lmdlifers.github.io/TonyKoo/research/when-an-ml-model-is-ready.html</guid><description>A strong validation score is a start. Deployment needs a baseline, leakage checks and a plan for changing data.</description><pubDate>Wed, 14 Oct 2026 16:00:00 GMT</pubDate></item>
<item><title>How data becomes reliable evidence</title><link>https://lmdlifers.github.io/TonyKoo/research/how-data-becomes-reliable-evidence.html</link><guid isPermaLink="true">https://lmdlifers.github.io/TonyKoo/research/how-data-becomes-reliable-evidence.html</guid><description>A good answer needs a trustworthy record, a search method suited to the question and a path back to the source.</description><pubDate>Wed, 14 Oct 2026 16:00:00 GMT</pubDate></item>
<item><title>How to choose a system boundary</title><link>https://lmdlifers.github.io/TonyKoo/research/how-to-choose-a-system-boundary.html</link><guid isPermaLink="true">https://lmdlifers.github.io/TonyKoo/research/how-to-choose-a-system-boundary.html</guid><description>Draw the line where state is committed, work is handed off and failures can be retried safely.</description><pubDate>Wed, 14 Oct 2026 16:00:00 GMT</pubDate></item>
<item><title>What the cloud should own</title><link>https://lmdlifers.github.io/TonyKoo/research/what-the-cloud-should-own.html</link><guid isPermaLink="true">https://lmdlifers.github.io/TonyKoo/research/what-the-cloud-should-own.html</guid><description>Managed infrastructure removes some work, but ownership of data, access, recovery and cost still needs a name.</description><pubDate>Wed, 14 Oct 2026 16:00:00 GMT</pubDate></item>
<item><title>How to decide under uncertainty</title><link>https://lmdlifers.github.io/TonyKoo/research/how-to-decide-under-uncertainty.html</link><guid isPermaLink="true">https://lmdlifers.github.io/TonyKoo/research/how-to-decide-under-uncertainty.html</guid><description>A good process records what was known, what was assumed and what would change your mind.</description><pubDate>Wed, 14 Oct 2026 16:00:00 GMT</pubDate></item>
<item><title>How money compounds and risk interrupts it</title><link>https://lmdlifers.github.io/TonyKoo/research/how-money-compounds-and-risk-interrupts-it.html</link><guid isPermaLink="true">https://lmdlifers.github.io/TonyKoo/research/how-money-compounds-and-risk-interrupts-it.html</guid><description>Time helps only when a plan can survive its cash needs, costs and the investor’s own behavior.</description><pubDate>Wed, 14 Oct 2026 16:00:00 GMT</pubDate></item>
<item><title>What language models learn</title><link>https://lmdlifers.github.io/TonyKoo/research/what-language-models-learn.html</link><guid isPermaLink="true">https://lmdlifers.github.io/TonyKoo/research/what-language-models-learn.html</guid><description>Separate learned weights, task context and verification before trying to fix a weak answer.</description><pubDate>Mon, 12 Oct 2026 16:00:00 GMT</pubDate></item>
<item><title>When agents need search</title><link>https://lmdlifers.github.io/TonyKoo/research/when-agents-need-search.html</link><guid isPermaLink="true">https://lmdlifers.github.io/TonyKoo/research/when-agents-need-search.html</guid><description>Choose the smallest control loop that improves validated outcomes, and be explicit about what branches.</description><pubDate>Mon, 12 Oct 2026 16:00:00 GMT</pubDate></item>
<item><title>Where autonomy stops</title><link>https://lmdlifers.github.io/TonyKoo/research/where-autonomy-stops.html</link><guid isPermaLink="true">https://lmdlifers.github.io/TonyKoo/research/where-autonomy-stops.html</guid><description>Let models propose actions while independent controls decide which effects are allowed.</description><pubDate>Mon, 12 Oct 2026 16:00:00 GMT</pubDate></item>
<item><title>How to prove an agent works</title><link>https://lmdlifers.github.io/TonyKoo/research/how-to-prove-an-agent-works.html</link><guid isPermaLink="true">https://lmdlifers.github.io/TonyKoo/research/how-to-prove-an-agent-works.html</guid><description>Compare a strong simple baseline with an agent under the same conditions, then inspect outcomes and costs.</description><pubDate>Mon, 12 Oct 2026 16:00:00 GMT</pubDate></item>
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