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Saturday, 3 October 2026 Reading Room

AI

Recall: A Private AI Memory Companion That Runs Locally

This is a submission for the Hacktoberfest Weekend Challenge: Build for a Friend What I Built I built Recall , a local-first AI memory companion for a friend who constantly has the same problem: they remember that they saw, wrote, saved, or discussed something somewhere, but can't remember where. Recall turns their personal data — notes, documents, conversations, bookmarks, and other files — into…

dev.to ·

We haven't written up this one. Dev.to has the full story — the link below goes straight to it.

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How to Write a 1980s Photo Prompt That Looks Like a Real 1985 Snapshot

A good 1980s photo prompt doesn't just say "make it look retro." It tells the image model which camera took the picture, how the light hit the subject, and what was on the film.

  • Specify camera type (35mm film snapshot, disposable, Polaroid, or camcorder)
  • Mention film stock (Kodak Gold or Fujicolor) and light source (flash, fluorescent, neon)
  • Add period details (hairstyles, fashion, objects) without specifying exact year

·dev.to

The Modular AI Supply Chain: Why Autonomous Agent Skills Need Pre-Install Security Scanning

As autonomous AI agents shift from experimental scripts into production systems, the way software engineering teams extend agent capabilities has fundamentally changed.

  • Autonomous AI agents use modular Skill Bundles to add functionalities.
  • Traditional SAST tools ineffective at detecting AI Skill Bundle risks.
  • nyuwayskillscanner scans bundles before deployment to block high-risk installations.

·dev.to

The More Context You Give Your AI Coding Agent, the Worse It Can Get

We keep hearing the same advice: Give the AI more context. Add the README. Add AGENTS.md . Add architecture docs. Add logs. Add previous decisions. Add the whole repository.

  • Too much context can introduce noise and stale assumptions for AI agents.
  • Conflicting instructions from different sources create confusion for AI agents.
  • Minimum sufficient context, not all available information, yields better results.

·dev.to

Local Models vs Cloud Models — The AI Advantage Is Moving From Access to Infrastructure

Local Models vs Cloud Models — The AI Advantage Is Moving From Access to Infrastructure Core thesis AI is no longer new. The question isn't "Are you using AI?" It's: "How much of your work has AI…

  • AI is no longer novel; focus shifts to infrastructure.
  • Domain experts and marketers/sales professionals will rise.
  • Cloud vs local models debate emerges as AI costs rise.

·dev.to

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