In agentic software development, speed isn't about how fast code gets written—it's about how quickly you can validate ideas through human-readable specifications. Specifications enable rapid iteration because they're the interface between human intent and machine execution.

The Training Data Paradox

The millions of lines of code that LLMs were trained on were written by humans following best practices, adhering to SDLC principles, and maintaining comprehensive documentation. While LLMs can write software, they tend to hallucinate without clear specifications. Complete and accurate specs dramatically increase the chance of successfully building and shipping software through agentic coding.

TachyonSpec addresses this gap by generating the complete specification layer that contemporary Context Engineering frameworks skip—not because they don't recognize its value, but because including everything causes context bloat. The solution isn't to abandon specifications; it's to generate them efficiently.

By generating comprehensive specifications at tachyon speed, we create a foundation where both human developers and AI agents can operate with clarity, confidence, and shared understanding of what needs to be built.