9 articles2026-09-23
Colibri explained: streaming MoE experts across storage, RAM and VRAM
Understand why a model can fit without promising that it will generate quickly on your hardware.
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EasyAI / Open source
One project, one complete learning path: discover the idea, run it safely, inspect the architecture and code, then decide what to build next.
Understand why a model can fit without promising that it will generate quickly on your hardware.
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Build a mental model of the framework before downloading pretrained weights.
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Understand the single-process platform and the external services it may still contact.
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Nine practical chapters on the AI review CLI, including source selection, fifteen isolated Go checks, deployment controls and an honest cost experiment.
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Understand Anthropic’s plugin collection through its productivity workflow, including local tasks, workplace memory and optional external connectors.
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Understand the model, storage and operator responsibilities behind a self-hosted LibreChat workspace.
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Understand local routing, protocol translation and provider permissions before connecting a coding client.
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Understand the capability layer, upstream tools and authorization boundaries before treating a platform as readable.
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Understand Orca’s desktop, worktree and remote-runtime roles before increasing the number of concurrent coding tasks.
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Nine chapters on environmental exploration, local setup, lifecycle ownership, snapshot validation, visual budgets and responsible extensions.
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Nine chapters on browser tools, setup, persistent sessions, false-value forwarding, performance evidence and responsible automation.
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Nine source-backed chapters on cadgen models, local setup, freshness, lazy imports, export choices and manufacturing boundaries.
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