AI Gets More Useful When You Build the Workflow Around It
The biggest productivity gains from AI come from the context, skills, and workflows you build around it, because each useful project makes the next one easier.
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The biggest productivity gains from AI come from the context, skills, and workflows you build around it, because each useful project makes the next one easier.
Local inference is moving beyond offline chat. A MacBook demo shows how a model becomes a private OpenAI-compatible service, and why that architecture could scale to serious on-premise AI.
Small local AI models are pushing software back toward faster, cheaper, more private, and more focused product experiences.
After building nano-harness, I have a clearer view of AI assistants, local-first workflows, architecture, and why building the small version yourself still teaches more than reading the hype.
Context is one of the real bottlenecks in agent-native engineering, and treating it like passive memory is not enough. It needs a system that can manage and surface it properly.
Human code review is not the final barrier to autonomous software engineering. The deeper challenge is judgment, context, and the messy reality of real codebases.
After two years publishing on Dev.to and Medium, I launched my own blog and rebuilt joacod.com with Astro and AI-assisted workflows.
I see several problems in corporate environments and in how AI is being used to speed up...
It's been an interesting year, a little experiment on social media and building some online presence,...
Let's face it, we write less and less code every day. Software engineering changed for good. That...
The number of attacks and vulnerabilities popping up every week in npm is becoming ridiculous, and...
Dear execs, HR folks, and managers, please, let’s stop with the virtual team building...