Daily-It은 어떤 기록을 남기나요?
대학교 때부터 객체지향을 공부했고, 커리어 대부분을 Java로 보냈습니다. 회사 솔루션·SCM·RFID·ERP·PRM을 개발·운영한 경험을 바탕으로, 지금도 회사 운영과 함께 문서 정리, 사내 챗봇, 자동화, 배포·운영 문제를 직접 다룹니다.
이곳의 글은 기능을 다시 설명하기보다 왜 검토했는지, 실제 환경에서 어디가 걸렸는지, 어떤 조건이면 쓰지 않을지를 남기는 쪽에 가깝습니다. 직접 사용한 것, 공식 자료에서 확인한 것, 아직 구매·도입 전인 후보를 구분합니다.
What Daily-it records
I have worked mainly with Java since university and have developed and operated company solutions, SCM, RFID, ERP, and PRM systems. I now also deal directly with company operations, documentation, internal chatbots, automation, deployment, and operations.
Rather than repeating feature lists, these notes explain why I looked at something, where it met friction in a real environment, and when I would not choose it. Hands-on use, verified official information, and pre-purchase or pre-adoption evaluations are clearly separated.
Daily-itが残す記録
大学時代からオブジェクト指向に関心を持ち、キャリアの大半でJavaを使ってきました。会社向けソリューション、SCM、RFID、ERP、PRMの開発・運用経験をもとに、現在も会社運営とともに文書整理、社内チャットボット、自動化、デプロイ・運用の課題に取り組んでいます。
ここでは機能一覧を繰り返すより、なぜ検討したか、実際の環境でどこに詰まったか、どの条件なら選ばないかを残します。実使用、公式情報で確認した事実、導入・購入前の検討は区別して書きます。
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Aside AI Browser First Impressions: Trying OpenAI While Claude OAuth Needs Confirmation
First impressions of the Aside AI browser: why I started with OpenAI, why the Claude OAuth-looking option still needs confirmation, and what I want to test next.
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Layer vs Tier: Logical Layers and Physical Tiers Explained with React and Supabase
A practical explanation of Layer vs Tier, starting from a coffee conversation and using React calling Supabase directly as a real-world example of why logical layers and physical tiers are easy to confuse.
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WaterCrawl vs Firecrawl: Choosing an LLM Crawling Tool for Repeated Side-Project Crawls
A practical comparison of WaterCrawl and Firecrawl for LLM-ready crawling, with a focus on why WaterCrawl may fit repeated crawling in a side project.
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Why Claude Code /deep-research Hits API Rate Limits During Verify — and How Queue Batches Fixed It
A practical account of Claude Code /deep-research hitting an API rate limit during Verify, and how 3-claim verification batches, Fetch barriers, and a fresh run reduced TPM spikes.
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Ponytail and AI Coding Settings: Porting a Lazy Senior Developer’s Good Habits
Ponytail reminds AI coding agents to write only the code that needs to exist. This is how I ported that mindset into my own settings while keeping company templates intact.
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JDK 28 Project Valhalla key changes: how much Java performance improvement can we expect?
JDK 28 Project Valhalla explained for Java developers: value classes, enhanced primitive boxing, generics limits, and realistic Java performance expectations.