Building Local Landing Pages That Avoid Doorway-Page Penalties in Next.js

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A developer who built city pages for an AI receptionist product in Canada describes how to avoid creating doorway pages, which are template pages with only the city name changed. The approach stores genuinely local details such as area codes, time zones, regional problems, and frequently asked questions in a data model that the template renders. Pages are statically generated in Next.js App Router, nested under the main service URL, and canonicalized, with structured data matched to what is actually visible. The author argues that a smaller set of well-researched city pages outperforms many thin ones, and that structured data should only claim physical presence where a real location exists.

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Context Engineering: Treating the Model's Input as a Budget to Design

As context windows expanded to hundreds of thousands of tokens, developers shifted from crafting one perfect prompt to deliberately managing everything a model receives. This covers system instructions, retrieved documents, tool outputs, conversation history, and persistent memory. The article warns that stuffing a large window with irrelevant material dilutes attention and can reduce accuracy even when the needed information is present. It recommends selecting relevant retrieved chunks instead of full documents, pruning accumulated tool output and history in long agent loops, and keeping memory curated. The guidance is aimed at builders of retrieval-augmented generation systems and agents beyond the demo stage.

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ProgrammingDEV Community ·

Preserving the Evidence Behind Procurement Decisions, Not Just the Working Comparison

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ProgrammingDEV Community ·

Turkey's Pardus Linux: History and Philosophy of a Homegrown Open-Source OS

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ProgrammingDEV Community ·

Mirra: A Telegram Bot That Adds Light Activities to Couple and Family Chats

A developer has built Mirra, a Telegram bot aimed at couples, families and friends who want more shared fun within their existing chats. It offers conversation starters and small joint activities, such as a question answered privately and revealed together, or families collecting memories and photos into a shared chronicle. Couples start the bot in a private chat and invite a partner by link, while family mode runs inside a group chat. The core features are free, with optional paid extras, and the couple and family features are available in English, while the friends mode is still being translated beyond Russian. The developer is seeking feedback on whether the partner invitation and family group setup are clear.

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