One thing I've realized while building with AI is that context isn't a prompt problem anymore. It's...
TokenCap v1.6.0 reduces context waste through smarter retrieval and packing, fetching only project-relevant files to decrease token usage. For AI teams, this reduces LLM operational costs and speeds up generation—critical efficiency gains for continuous AI workflows.
One thing I've realized while building with AI is that context isn't a prompt problem anymore.
It's an engineering problem.
Over the last few weeks I've been using TokenCap on larger projects and found myself repeatedly asking:
Why is the AI reading files that don't matter?
Why am I sending the same context over and over?
Most AI tooling today focuses on one problem: How do we give the model better context? That's an...
One of the biggest challenges in AI-assisted development isn't choosing the right model. It's...
Two days ago, I released TokenCap v1.4.0 with support for Local MCP (Model Context Protocol). The...
Recent AI engineering signals point to a practical lesson: huge context windows help, but reliable AI apps still need context…
One of the strangest workflows in modern software development looks like this: Ask ChatGPT a...
Every AI coding assistant promises the same thing: "Write code faster." Yet after months of using...
