Tool Open source · Apache-2.0
hey is a command-line HTTP load generator and ApacheBench replacement. It sends a specified number of requests, or requests for a specified duration, using configurable concurrent workers and optional per-worker rate limits, then prints request statistics or CSV metrics. It supports common HTTP methods, custom headers and request bodies, authentication, proxies, timeouts, redirects, compression and keep-alive controls, and HTTP/2 endpoints. The project provides binaries for Linux, macOS and Windows and can be installed on macOS with Homebrew.
Harbor is a framework from the creators of Terminal-Bench for evaluating and optimizing AI agents and language models in container environments. It can run arbitrary agents, including Claude Code, OpenHands, and Codex CLI, against shared or custom benchmarks and environments such as Terminal-Bench, SWE-Bench, and Aider Polyglot. Harbor launches benchmark runs locally with Docker or in parallel through cloud and sandbox providers, and can generate rollouts for reinforcement-learning optimization. It is distributed as a Python package installable with uv or pip and provides command-line tools for running datasets, selecting agents and models, and listing supported benchmarks.
Portless is a command-line development proxy that replaces numbered localhost ports with stable, named local URLs such as https://myapp.localhost. It runs an application command, assigns the child process an available port through the PORT environment variable, registers the app with an HTTP/2 HTTPS proxy, and routes requests from the named hostname to that process. It can infer and run package.json development scripts, inject port and host flags for frameworks that do not honor PORT, manage multiple workspace packages, and register aliases or subdomains. The proxy supports custom TLDs, local certificate generation and trust, WebSockets, LAN access through mDNS, startup services, and optional sharing through Tailscale or ngrok. Portless is distributed as an npm package for macOS, Linux, and Windows and is pre-1.0.
Breakscale is a system design simulator for learning how distributed systems behave under load. Users place components on a canvas, connect them into a topology, and increase traffic while observing latency percentiles, queue depth, circuit breakers, goodput, and cascading failures. Its engine is a deterministic discrete-event simulation in which requests move through the topology. Components have finite server slots, instance counts, FIFO queues, and queue limits; service times use a gamma distribution based on a mean and coefficient of variation; timed-out downstream work continues consuming capacity; and queues acknowledge requests while buffering messages for workers. The simulator measures p50, p95, and p99 latency from completed requests and includes controls for crashing nodes, slowing services, forcing errors, or cutting links. The project provides system components such as load balancers, caches, databases, queues, workers, rate limiters, circuit breakers, shards, autoscalers, and stream brokers, along with teaching scenarios and reconstructions of published architectures. The simulation engine is separated from the React interface and can be driven from a script. The repository is built with React, TypeScript, and Vite, runs locally with Bun, and is licensed under MIT; its bundled Caveat font is separately licensed under the SIL Open Font License 1.1.
HyperProbe is an AI-native production debugger for investigating live application state without code changes, redeployment, or service restarts. It reads logs and distributed traces, uses a coding agent to locate a suspected file and line, and places a temporary read-only virtual breakpoint there. When the breakpoint fires on live traffic, it captures the variable state asynchronously without pausing requests, then uses the evidence to confirm a root cause. Probes are non-blocking, cannot write memory or execute code, disappear after capture, and are recorded in an immutable audit trail. The service is designed for silent failures, exceptions whose causes occur earlier in the call chain, incorrect behavior without thrown errors, race conditions, third-party contract changes, and business-metric failures. It supports JavaScript, TypeScript, Java, Kotlin, Python, and Ruby, and can run in a managed cloud, self-hosted deployment, or private VPC. The page states that it integrates with PagerDuty, Datadog, Slack, Cursor, Claude Code, Codex, and Opencode, with approval gates and agent-side PII redaction.
Headroom is a local-first macOS menu-bar app for monitoring AI coding quotas and software delivery status, with optional iPhone, iPad, Apple Watch, and ESP32 desk-display clients. A Python host running on the Mac reads the authentication data and command-line tools already configured for services such as Claude, Codex, Cursor, GitHub, and Vercel, then serves a single local JSON feed; credentials remain on the machine and no Headroom cloud account is required. Its interfaces show provider quota meters, usage rings, burn rate and spend, failed Actions, deployments, monitors, and other attention items, and the iPhone client can approve, deny, or reply to Claude and Codex requests without starting work. The Mac host uses port 8737, requires macOS 14+ and Python 3.9+, and the optional desk display uses a Waveshare ESP32-S3-Touch-AMOLED-1.8 board.