Agency or In-House Team? How to Choose Based on Stage and Need

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The choice between hiring an agency or building an in-house team depends on four key factors: speed, cost, control, and knowledge retention. Agencies offer a faster start and lower costs for short-term or bursty work, while in-house teams become more economical and effective for ongoing, core functions. In-house staff hold a contextual advantage for complex, evolving domains, whereas agencies suit well-defined, finite projects. A common hybrid approach pairs a small internal core team with agency support for specialized or high-velocity work. Regardless of who builds, experts recommend owning all code, infrastructure, and documentation from the outset to prevent knowledge loss.

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React useLocalStorage Hook Fixes SSR, Tab Sync, and State Persistence Bugs

A common React pattern of pairing useState with localStorage contains at least four bugs: it crashes under server-side rendering, throws on corrupted data, ignores updates across browser tabs, and lets multiple components using the same key fall out of sync. The useLocalStorage hook from @reactuses/core addresses all these issues while maintaining an API identical to useState. It automatically selects the appropriate serializer based on the default value's type, meaning numbers and objects are restored correctly without manual parsing. The hook also supports functional updates and safely returns null when a persisted key has been removed. Designed to be TypeScript-first, it aims to replace hand-rolled localStorage wiring that developers typically write and debug repeatedly across projects.

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ProgrammingHacker News ·

Developer Reflects on Growing Fatigue With AI Language Model Hype

A developer named Alec Scollon has published a personal blog post describing what he calls 'LLM burnout,' a sense of exhaustion surrounding large language model technology. The piece, shared on Hacker News, reflects a growing sentiment among some in the tech community who feel overwhelmed by the constant stream of AI-related content and tools. Scollon suggests that the relentless pace of LLM development and promotion has made it difficult to maintain genuine enthusiasm for the technology. The post has sparked early attention online, pointing to a broader conversation about AI fatigue in developer circles.

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ProgrammingDEV Community ·

Mitii AI Coding Agent Hits 78% Success Rate on 500+ Tasks Using Local Qwen3-Coder 30B

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ProgrammingDEV Community ·

Three cache bugs broke a dashboard's badges — and how each was fixed

A development team building a cross-site updates dashboard implemented a cache-first design, but quickly encountered three separate bugs that all produced the same user-facing symptom: badges not persisting as expected. The first issue was that cache restoration only triggered when the dashboard was opened, meaning a site-list badge rendered at boot saw an empty cache and hid all badges; the fix was moving restoration to DOMContentLoaded so it runs once at app startup. The second problem was a 7-day cache TTL based on an assumed usage pattern that did not match reality, where users checked the dashboard infrequently and relied on badges between visits; the team extended the TTL to 30 days and added a tooltip showing how old the cached data was. A third bug caused maintenance on a single site to invalidate the entire cache, wiping badges for all other sites. Each fix highlighted a broader principle: cache restoration logic should be tied to app boot rather than the first consumer that happens to use it, and longer TTLs should be paired with visible data-age indicators rather than shorter expiry windows.

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