SikiT

Field notes on running AI agents without a human in the loop.

Field notes on unattended AI agents.

SikiT

About SikiT


I’m Hyunsik Park. I build and run AI agent automation, and I write down what breaks.

Most writing about coding agents covers the first ten minutes: the prompt, the demo, the happy path. This site covers what happens after — when an agent runs on a schedule, holds credentials, writes to systems you care about, and reports back that everything went fine.

What I actually run

The site covers command-line agents, scheduled jobs, process timeouts, permission boundaries, and ways to check results. Articles identify the environment and evidence relevant to the case being discussed. Start with the reading path for one recurring task.

Readsikit is an independent publication with no corporate backing.

How I handle claims

Articles distinguish recorded observations, vendor documentation, and inference. Results from one configuration do not establish performance in every environment. A reproduction claim needs an execution record; reading an existing article is not a new reproduction. Material corrections are dated.

What I cover

How articles are made

SikiT uses AI tools for research, drafting, and checks against source material. Authorized automation can also prepare and publish material. This does not mean that the owner personally performs every run or reviews every sentence. Claims of testing need actual execution evidence, and articles must separate observations from inference. The Advertising & Editorial Disclosure page sets out the full policy, including how advertising is kept separate from editorial decisions.

What this site is not

SikiT does not offer inside information or general performance guarantees. A result from one machine or service is limited to that setup. If a question needs equipment or access that was not available for an article, that limit should be stated.

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