MIT spinout G5 Labs built a compiler that converts natural language intent into executable code and back again, treating English as the actual source code rather than just a prompt tool. The company claims this solves the AI productivity paradox where teams generate massive amounts of untrusted code they can't manage or afford.

• G5's core technology is a bi-directional compiler that treats natural language organized as an ontology graph as source code—compilable, mergeable, and diffable like traditional programming languages
• The platform lets non-developers (product managers, analysts, compliance teams) directly define and govern software using business language instead of code
• A financial services customer uncovered structural problems during modernization that would've stayed hidden with traditional code comparison, and resolved merge conflicts at the semantic level rather than line-by-line