Developer Tools / Prompt Engineering
A focused article-style site arguing for domain-specific languages in LLM workflows, with concrete examples around structured extraction, validation, and pricing rules.
The page is clearly about an AI-adjacent developer workflow: using DSLs and Raku grammars to constrain LLM output, validate responses, and build structured pipelines. The visible sections explain the problem, give specific scenarios, and show example rules, which is enough evidence for a useful directory listing.
It reads more like a technical essay than a standalone product page, and the crawl snapshot does not show downloads, docs depth, code examples, or a tangible tool users can try beyond the referenced playground/tutorial links.
Last evaluated 94 days ago. Current rank #2015. Up 1 spot in the rankings.
CodeGraph is a local code knowledge graph for AI coding agents like Claude Code, Cursor, Codex, OpenCode, and Hermes Agent. It aims to cut token use, tool calls, and runtime by letting agents query pre-indexed code structure instead of scanning files repeatedly.
Mercemur is a store automation platform with three interfaces: a REST API, an MCP server for AI agents, and a CLI for editing storefronts as files. The docs show authentication, scopes, rate limits, error handling, pagination, idempotency, and a large API surface for catalogue, orders, customers, pricing, and money.
A zero-dependency C++23 CLI and MCP server that gives coding agents a ranked map of a repository, including call context, blast radius, and tests to run.
Traccia is an AI agent observability and governance platform with OpenTelemetry-native tracing, runtime policy enforcement, prompt registry, evals, cost attribution, and compliance evidence export.
