Show HN: MOL – A programming language where pipelines trace themselves https://ift.tt/Sy169DP

Show HN: MOL – A programming language where pipelines trace themselves Hi HN, I built MOL, a domain-specific language for AI pipelines. The main idea: the pipe operator |> automatically generates execution traces — showing timing, types, and data at each step. No logging, no print debugging. Example: let index be doc |> chunk(512) |> embed("model-v1") |> store("kb") This auto-prints a trace table with each step's execution time and output type. Elixir and F# have |> but neither auto-traces. Other features: - 12 built-in domain types (Document, Chunk, Embedding, VectorStore, Thought, Memory, Node) - Guard assertions: `guard answer.confidence > 0.5 : "Too low"` - 90+ stdlib functions - Transpiles to Python and JavaScript - LALR parser using Lark The interpreter is written in Python (~3,500 lines). 68 tests passing. On PyPI: `pip install mol-lang`. Online playground (no install needed): http://135.235.138.217:8000 We're building this as part of IntraMind, a cognitive computing platform at CruxLabx. """ https://ift.tt/DVBo6NQ February 12, 2026 at 12:31AM