https://jerryni.github.io/dev-digest/en/tags/frontend/ Recent content in Frontend on Dev Digest · Daily Tech Curation Hugo en Wed, 26 Aug 2026 07:00:00 +0900 https://jerryni.github.io/dev-digest/en/posts/2026-08-26/ Wed, 26 Aug 2026 07:00:00 +0900 https://jerryni.github.io/dev-digest/en/posts/2026-08-26/ Today centers on AI coding workspaces, plugin ecosystems, frontend build speed, Python migration work, and the security edge cases hiding in everyday string handling. https://jerryni.github.io/dev-digest/en/posts/2026-07-21/ Tue, 21 Jul 2026 07:00:00 +0900 https://jerryni.github.io/dev-digest/en/posts/2026-07-21/ Today’s signal is about operationalizing AI: model competition, code-review graphs, enterprise controls for Claude Code, Async React UX, and practical LLM use in security work. https://jerryni.github.io/dev-digest/en/posts/2026-07-17/ Fri, 17 Jul 2026 07:00:00 +0900 https://jerryni.github.io/dev-digest/en/posts/2026-07-17/ Today’s thread is AI tooling moving closer to local developer environments, with useful side quests in WebAssembly, semantic metadata, browser-grade creative apps, and runtime support deadlines. https://jerryni.github.io/dev-digest/en/posts/2026-07-16/ Thu, 16 Jul 2026 07:00:00 +0900 https://jerryni.github.io/dev-digest/en/posts/2026-07-16/ Today’s theme is AI tooling becoming operational: open-weight models, open-sourced agents, command guards, browser workflows, and frontend toolchain consolidation. https://jerryni.github.io/dev-digest/en/posts/2026-07-10/ Fri, 10 Jul 2026 07:00:00 +0900 https://jerryni.github.io/dev-digest/en/posts/2026-07-10/ Today is about turning stronger AI systems into repeatable engineering practice: new models, agent skills, memory, governance, frontend performance, and safer database experiments all point in the same direction. https://jerryni.github.io/dev-digest/en/posts/2026-06-09/ Tue, 09 Jun 2026 07:00:00 +0900 https://jerryni.github.io/dev-digest/en/posts/2026-06-09/ Today is about the engineering systems around AI: supply-chain security, Apple’s Gemini-backed architecture, OpenCV 5, high-speed inference, Postgres query hints, vector search, and reusable agent skills. The useful question is how these pieces behave in production, not how impressive they sound in isolation.