Immich Offers a Self-Hosted Alternative to Paid Google Photos Storage

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A software developer has shared a personal account of switching from Google Photos to Immich, a self-hosted photo storage solution. The move was motivated by the desire to cut recurring subscription costs associated with Google's cloud storage plans. Immich allows users to store and manage their photos on their own hardware, giving them greater control over their data. The blog post, published on markpitblado.me, outlines the setup process and cost benefits of running a personal photo server. The article attracted discussion on Hacker News, where readers engaged with the trade-offs between convenience and self-hosting.

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Baseline: A Production-Ready FastAPI Starter Kit with JWT Auth and Async SQLAlchemy

A developer has released Baseline, an open-source FastAPI starter kit designed to eliminate repetitive project setup for production applications. The kit follows a strict four-layer architecture — Router, Service, Repository, and Schema — keeping business logic, persistence, and HTTP handling cleanly separated. It includes JWT authentication with short-lived access tokens, a consistent error response shape, and uses Argon2 password hashing instead of the commonly recommended bcrypt wrapper. Tests are run against real PostgreSQL rather than SQLite to better reflect production conditions. The project is intentionally minimal, excluding features like Stripe integration, multi-tenancy, or an admin panel, focusing solely on a reliable, scalable foundation.

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ProgrammingDEV Community ·

Developer Fails to Automate Medium Publishing via Chrome DevTools Protocol

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ProgrammingDEV Community ·

Developer details browser automation workaround for Gumroad's login and product creation

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ProgrammingDEV Community ·

Harness Engineering Applies to Human Operators, Not Just AI Agents

A concept gaining traction in agentic software development argues that the standard equation 'Agent = Model + Harness' omits a critical counterpart: the human operator who directs what agents build across sessions. Just as an AI agent relies on a harness — loops, tools, context, and constraints — to turn reasoning into useful output, the human directing those agents needs equivalent supporting machinery. This parallel framework, termed the 'human harness,' is defined as a system enabling safe and effective execution by both transmitting a worker's capability into productive work and securing that work against failure states. The concept draws on analogies from physical harnesses, such as those used in horse-drawn carts and rock climbing, to distinguish between transmission and securing functions. Proponents argue that before automating execution through agents, human operators must first orient their work within a structured harness of their own.

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