Developer Tools / AI Observability
A curated GitHub resource mapping AI token costs, waste, and efficiency practices for agentic coding. It combines an awesome list with editorial notes, practices, concepts, claims, and copy-paste setups.
The page clearly presents a useful AI-adjacent resource for builders: a structured guide to token costs, usage tracking, observability, and token-efficient coding workflows. The snapshot shows concrete sections, many named tools and practices, and enough context to support a public listing.
The crawl shows breadth, but it’s still hard to tell which entries are maintained, how current each item is, or which setups are ready to use without opening the repository.
Last evaluated 47 days ago. Current rank #1350. Down 2 spots 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.
