Lightwell

Lighthouse is an open-source automated auditing tool developed by the Google Chrome team that analyzes web pages for performance, accessibility, progressive web apps, SEO, and other best practices. It is available as a Chrome DevTools feature, a Node module/CLI, and a standalone report generator.

Lakebed is a cloud product whose codebase was audited, cleaned up, optimized, and improved through parallel pull requests generated by AI.

Wiz is an AI cybersecurity platform for cloud and AI applications. It connects code, cloud, identities, network, and runtime in a unified security graph, using that context to scan attack surfaces, model lateral movement, privilege escalation, and data-access paths, detect exploitation, and generate code or infrastructure fixes. The videos describe its customer-side CVE scanning as producing security reports and discuss using agents to remediate vulnerabilities.

Lean's LEDE is an OpenWrt-based source repository for building router and network-gateway firmware. It includes OpenWrt feeds and packages, supports compiling firmware for supported targets, and adds support for Loongson loongarch64 and Phytium D2000 architectures. The documented build process installs Linux or macOS dependencies, clones the source, updates and installs feeds, configures the firmware with `make menuconfig`, downloads package sources, and outputs compiled images under `bin/targets`. The repository also documents WSL/WSL2 and macOS build requirements and provides a default router address of 192.168.1.1 with the password `password`.

LiteLLM is an open-source AI gateway and Python SDK from BerriAI for calling more than 100 LLM providers through a unified OpenAI-compatible interface. It supports direct library integration and a self-hosted proxy server, with provider-specific formats translated into common endpoints such as chat completions, responses, embeddings, image generation, audio, batches, reranking, messages, and agent-to-agent calls. The proxy provides centralized authentication and authorization, virtual keys, per-project and per-user spend tracking, logging, guardrails, caching, load balancing, routing with retry and fallback logic, and an administration dashboard. LiteLLM also exposes MCP tools and A2A agents through the gateway and can be deployed as a componentized stack with separate gateway, backend, and UI services. The repository describes it as open source and documents Docker, local development, and Terraform deployment options for AWS and Google Cloud.