Tools

The AI-first code editor

AI-first code editor built as a VS Code fork that deeply integrates LLMs into every part of the development workflow. Features Tab autocomplete with multi-line predictions, Cmd+K inline editing, AI chat with full codebase awareness, and Agent mode for autonomous multi-file edits with terminal execution. Supports GPT-4, Claude, and more with automatic context from project files and docs. Includes privacy mode for SOC 2 compliance. The leading AI-native IDE with 100K+ paying users.

Anthropic's frontier AI assistant

Anthropic's AI assistant known for strong reasoning, nuanced writing, and extended context up to 200K tokens. Available in Opus (most capable), Sonnet (balanced), and Haiku (fast) tiers. Features web search, deep research, file analysis, code execution, artifacts, and Projects for organized workflows. Claude Code provides terminal-based agentic coding. API supports tool use, batch processing, and prompt caching. Available via claude.ai, mobile apps, and developer API.

OpenAI coding agent for app, editor, terminal, and cloud work

Codex is OpenAI's coding agent for software development across the Codex app, editor, terminal, and cloud tasks. It helps write, review, debug, refactor, and automate code, with ChatGPT plan access for managed surfaces and API-key usage for CLI, SDK, and IDE workflows. The open-source CLI and SDK support local repository work, while cloud features add GitHub review, Slack/Linear integrations, worktrees, skills, MCP, and automations.

Official authenticated remote MCP endpoint for Linear issues, projects, comments, and coding-agent workflows.

Linear MCP Server is Linear’s official authenticated remote MCP endpoint for agent access to issues, projects, and comments. It gives Claude, Codex, Cursor, VS Code, Windsurf, Zed, and other clients a centrally hosted way to find, create, and update Linear work items through OAuth-backed MCP without maintaining a local connector or brittle API glue.

Official Slack MCP server for approved workspace search, messaging, canvas, and user-context actions.

Slack MCP Server is Slack’s official remote MCP layer for giving approved AI clients workspace context and controlled actions. It lets agents search messages, files, users, and channels, draft or send messages, read threads, manage canvases, and authenticate through Slack OAuth while workspace admins approve integrations and normal Slack rate limits still apply.

Official remote MCP server for design-to-code and write-to-canvas Figma workflows.

Figma MCP Server is Figma’s official remote Model Context Protocol surface for design-to-code agents. It gives supported clients structured design context, variables, components, selected-frame code context, Code Connect mappings, and beta write-to-canvas tools for creating or updating native Figma frames from an MCP client while keeping the workflow tied to Figma files.

Sentry-style observability for AI agent conversations

Latitude is an agent observability platform for teams that need to inspect LLM traces, conversations, issues, and evaluation feedback in one workflow. Its public repo and docs position it as a Sentry-style monitor for AI agents, with semantic search, issue detection, annotations, MCP-assisted fixes, and cloud or self-hosted deployment paths for production debugging.

Session reports for Claude Code and Codex runs

Spotlight by Backplanes turns completed Claude Code and Codex sessions into concise reports for engineering, security, and spend review. The CLI installs on macOS, Linux, or WSL 2, watches sessions after they finish, redacts PII and credentials locally before upload, then summarizes files touched, commands run, external domains reached, scope drift, risky actions, and next-session improvements.

Telemetry-aware AI code reviewer that checks how pull requests may affect real services.

Baz is an AI code-review platform focused on production-aware pull requests. Instead of only reading the diff, Baz connects code changes to application telemetry so reviewers can understand what endpoints, services, and runtime behavior may be affected. That makes it a useful complement to existing AI PR bots when the question is not just whether a change looks correct, but whether it could break a live system.

MCP-native personal context vault for keeping AI agents aligned with your work, voice, and projects.

Unabyss is a personal context headquarters for AI agents. It syncs sources such as email, Slack, Notion, Drive, meetings, and professional profiles into structured context files that can be served to MCP-capable clients. The strongest angle is not generic note taking; it is permissioned, reusable context for Claude, Cursor, custom agents, and other tools that otherwise need the same background explained repeatedly.

Database branching for coding agents

Ardent is a Postgres database branching platform built for coding-agent workflows. It creates isolated database copies in seconds so Claude Code, Codex, Cursor, or human developers can test migrations, clean data, reproduce bugs, and run risky experiments without touching production. The strongest fit is teams already using Postgres who need agent-safe dev/test databases rather than another generic serverless database.

Command center for Claude Code and Codex — monitor, steer, and voice-control your AI agents from any device.

Omnara is a command center for Claude Code and Codex sessions across desktop, web, mobile, and Apple Watch. Its public site supports cross-device supervision, parallel agents, worktrees, Git, and session-continuity language, with free-offer metadata; teams should verify detailed pricing, relay, privacy, and enterprise controls before standardizing it.

Vectorless, reasoning-based RAG that reads documents like a human expert — no vector DB, no chunking.

PageIndex is a vectorless, reasoning-based RAG system that builds hierarchical tree indexes from long documents and uses LLMs to navigate them like a human expert would. Instead of chunking text and comparing embeddings, it constructs a table-of-contents-style structure and reasons its way to the right sections — no vector database required. Available as an open-source Python package, cloud API, MCP server, and chat platform.

Production-grade browser automation with AI self-healing and Playwright code ownership

Intuned is a code-first browser automation platform that turns natural language prompts into production-ready Playwright code, deploys it, and self-heals it when target sites change. Supports TypeScript and Python with Anthropic Computer Use, OpenAI CUA, Stagehand, Browser-Use, and Gemini Computer Use integrations. Built-in stealth, captcha solving, auth session management, and scheduled runs with concurrency control. No vendor lock-in—you own the code.

Cut Claude Code token costs by up to 50% with a local plugin that never uploads your code.

WOZCODE is a Claude Code plugin that reduces token consumption by 25–55% using smarter context reads, batched file edits, AST truncation, and Haiku subagents. It installs in seconds with two CLI commands, runs entirely locally with no code upload, and requires no account sign-up. Developers report finishing the same tasks in fewer tokens without changing their existing editor or workflow.

Embedding-first search and discovery engine for AI-powered product experiences.

Marqo is an open-source tensor search engine that combines embedding generation and vector search in a single API, removing the need to manage separate embedding pipelines and vector databases. Built for product discovery and multi-modal search, it lets teams index text, images, and structured data together, returning ranked results based on semantic similarity rather than keyword overlap.

Always-on cloud engineer that lives in Slack and ships verified PRs

Roomote is a Slack-first cloud coding agent from RooCodeInc that takes prompts end-to-end across GitHub, Linear, Notion, Sentry, and your own dev environment, then opens self-verified pull requests for review. It is the team behind 24K+ star Roo Code going all-in on cloud agents: mention it in Slack, let it run in an isolated environment, and review the PR through your normal GitHub flow.

One tool for intercepting, mocking, and replaying HTTP — acquired by BrowserStack

Requestly is a BrowserStack-backed API client, HTTP interceptor, mock server, and session replay tool for frontend and QA teams. Its current product is commercial/API-client led, while the legacy interceptor/open-source code is AGPLv3. The free plan covers individual workflows, and Pro lists at $12/user/month monthly or $9/user/month annually for collaborative QA and frontend debugging teams.

Sandboxes for coding agents — Linux VMs, Git, and deploys in one box

Freestyle is YC-backed sandbox infrastructure built for AI coding agents, shipping secure Linux VMs with nested virtualization, Git servers, and one-click web deploys. It lets agents run real workloads, branch repos, and deploy apps under short-lived identities while billing only for active compute. Used in production by vly.ai, Rork, and Vibeflow.

Headless browser cloud built for AI agents

Browserbase is cloud infrastructure that runs headless Chromium browsers on demand for AI agents and automation workflows, exposing Playwright, Puppeteer, and Selenium endpoints with built-in session replay, residential proxies, CAPTCHA solving, and stealth fingerprints. It also hosts Stagehand and a Model Gateway, letting teams build browser-using agents without maintaining their own fleet of Kubernetes-managed Chromium instances.

Wafer-scale inference at thousands of tokens per second

Cerebras Inference serves open-weight LLMs like Llama, Qwen, and GPT-OSS on wafer-scale CS-3 chips through an OpenAI-compatible API, benchmarking between 1,800 and 2,600 output tokens per second on Llama 3.1 8B and several hundred on 70B models. A free tier offers one million tokens per day with no credit card, while paid pay-per-token pricing starts at $0.04 per million tokens for the smaller Llama models.

One desktop app for every LLM — private, cross-platform, extensible

Chatbox is a cross-platform desktop AI client supporting OpenAI, Claude, Gemini, DeepSeek, and local models via Ollama. All chat data stays on-device, making it ideal for privacy-conscious developers. Features include document analysis, code assistance with syntax highlighting, image generation, web search, and a local knowledge base for private Q&A. Available on Windows, macOS, Linux, Android, iOS, and web.

Context engineering platform for AI agents with temporal knowledge graphs

Zep is a context engineering platform that assembles relationship-aware context for AI agents from conversations, business data, documents, and events. It maintains a temporal knowledge graph that automatically extracts entities and relationships, tracking how context evolves over time. Zep delivers formatted context blocks optimized for LLMs with sub-200ms latency, integrating with LangChain, LlamaIndex, AutoGen, and Google ADK through Python, TypeScript, and Go SDKs.

Agent memory system that learns, not just remembers

Hindsight is an agent memory system that enables AI agents to learn from experience rather than just store conversations. It organizes memories into three biomimetic categories: World knowledge for facts, Experiences for agent events, and Mental Models for learned understanding. The system provides retain, recall, and reflect operations backed by a temporal knowledge graph with parallel retrieval strategies including semantic, keyword, graph traversal, and temporal search.