1,323 Developer Tools (2026)

HyperDX is the ClickStack UI for ClickHouse-backed observability. It provides a frontend for exploring logs, traces, metrics, session replay, dashboards, and alerts, with an OpenTelemetry-centered deployment path for teams that want a self-hosted or ClickHouse-aligned observability stack.

Agentic development environment for parallel multi-vendor coding agents

JetBrains Air is JetBrains' system for building software with AI agents: Air in IDEs (an Early Access plugin for running agents inside JetBrains IDEs), the Air app (a desktop client for local, Git worktree, Docker and cloud tasks), Air Teams (shared cloud environments and automations) and Air Governance (organization policies, AI credit limits and analytics). It runs Claude Agent, OpenAI Codex, Gemini CLI, Junie and ACP-compatible agents.

Google async coding agent for GitHub tasks, plans, and PRs

Jules is Google's async coding agent for GitHub repositories. Users start work from a prompt, GitHub issue label, scheduled task, or opt-in Suggested Task; Jules runs in a Google Cloud VM, proposes a plan, and opens PR-ready diffs. Free Jules offers 15 tasks/day and 3 concurrent tasks on Gemini 2.5 Pro; Pro/Ultra raise limits and start with Gemini 3 Pro access.

Knowledge graph-powered RAG framework from HKU

LightRAG is a research-backed RAG framework from Hong Kong University that combines knowledge graph structures with vector search for more contextual retrieval. Published at EMNLP 2025, it extracts entities and relationships from documents to build a structured knowledge graph, then uses dual-level retrieval across both graph and vector representations with five query modes: naive, local, global, hybrid, and mix.

Web platform for modern development

Jamstack-focused cloud platform specializing in deploying static sites, serverless functions, and modern web applications with Git-based CI/CD. Features instant rollbacks, deploy previews for every PR, split testing, edge functions, form handling, identity/auth, and a global CDN with automatic HTTPS. Native support for Next.js, Nuxt, Gatsby, Hugo, Astro, and all major static site generators. Free $0 forever plan plus Personal and Pro credit-based tiers for growing traffic and team workflows.

Full-stack observability with AI-powered monitoring

New Relic is a full-stack observability platform combining APM, infrastructure monitoring, logs, traces, browser/mobile monitoring, synthetics, and AIOps. Current public copy highlights 50+ capabilities, 100 GB/month free data ingest, one free full platform user, unlimited basic users, and 800+ pre-built integrations.

Open-source AI coding agent for the terminal

Open-source (MIT) AI coding agent from Anomaly for the terminal, desktop and web. It works with many LLM providers via /connect, local models through Ollama, the pay-as-you-go OpenCode Zen gateway and OpenCode Go subscriptions. OpenCode 2.0 runs one shared background service for all clients and adds the @opencode/client package and Code Mode, which composes MCP and OpenAPI tools in a single script.

Open-source Terraform fork — community-driven Infrastructure as Code.

OpenTofu is an open-source fork of Terraform created by the Linux Foundation after HashiCorp switched Terraform to the BSL license. Designed to preserve existing Terraform workflows and configurations, it offers state encryption, early variable evaluation, and a community-driven development model. Backed by major cloud providers and companies.

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.

24/7 local screen & audio recording for AI agents

Screenpipe is a source-available Rust platform that records your screen and audio locally so AI agents can use your work history as context. It is licensed under the Screenpipe Commercial License rather than an OSI open-source license, uses event-driven capture with OS accessibility trees and OCR fallback, stores history in local SQLite, and exposes a local REST API plus an MCP server for Claude, Cursor, and other AI clients.

Managed SonarQube Cloud code quality and security analysis for CI/CD workflows.

SonarQube Cloud, still commonly associated with the SonarCloud name, is SonarSource’s managed code quality and security SaaS for GitHub, GitLab, Bitbucket, and Azure DevOps. It scans pull requests for bugs, vulnerabilities, security hotspots, code smells, duplication, and coverage regressions, then enforces Quality Gates without running SonarQube Server. Current Sonar docs frame the cloud service around 40+ languages, with Team from $32 monthly and Enterprise custom.

LLM evaluation and tracking with RAG triad metrics

TruLens is an open-source framework for evaluating and tracking LLM experiments with feedback functions, RAG triad metrics (answer relevance, context relevance, groundedness), and Honest/Harmless/Helpful evaluations. Features a unified Metric API for systematic evaluation of RAG pipelines and AI agents. 3,200+ GitHub stars, MIT licensed. Snowflake partnership adds enterprise integration. Supports LangChain, LlamaIndex, and custom LLM applications.

Cross-agent messaging for CLI coding agents

agmsg is an MIT-licensed Bash and SQLite messaging layer for CLI coding agents. It lets Claude Code, Codex, Gemini CLI, GitHub Copilot CLI, Antigravity, OpenCode, Hermes, and other terminal agents exchange messages through a shared local database instead of relying on a human copy-paste relay. It is intentionally not MCP, not a broker, and not a subagent framework.

MCP, ACP and Skills support for building production coding agents — interactive or automated.

fast-agent is an Apache-licensed Python framework for building and running LLM agents with full MCP (Model Context Protocol) and ACP support. It ships with an interactive shell mode, Skills management, and multi-model routing — making it a practical platform for coding agents, workflow automation, and agent evaluation across Claude, Codex, HuggingFace, and local models.

Google’s open-source Kubernetes assistant that translates natural-language intent into precise cluster operations.

kubectl-ai is an AI-powered Kubernetes assistant from Google Cloud Platform. It acts as an intelligent interface for cluster work, translating operator intent into Kubernetes commands and workflows. The key distinction from reactive diagnosis tools is that kubectl-ai is designed as an interactive natural-language interface for planning and executing Kubernetes operations, with provider configuration and MCP-oriented workflows around the CLI.

Serverless vector and full-text search on object storage

turbopuffer is a serverless vector and full-text search engine built on object storage and vendor-positioned as roughly 10x cheaper than traditional vector databases. Used by Anthropic, Cursor, Notion, and Atlassian for production search workloads. Official site reports 4T+ documents, 10M+ writes/s, and 25k+ queries/s in production systems. Funded by Thrive Capital.

Lightweight multi-modal agent framework

Fast, lightweight Python framework for building multi-modal AI agents, formerly known as Phidata. Includes built-in memory, knowledge bases, tools, and reasoning capabilities with 40K+ GitHub stars. Designed for developers who want to build production-ready agents quickly with minimal boilerplate, supporting structured outputs and multi-agent coordination out of the box.

AWS AI coding assistant with code generation and security scanning

AI coding assistant from AWS with inline code suggestions, chat, code transformation, and built-in security vulnerability scanning. Deep integration with AWS services and CLI makes it particularly powerful for cloud-native development. Helps developers modernize legacy code, optimize AWS resource usage, and implement security best practices across their entire development workflow.

Open-source backend-as-a-service platform

Appwrite is an open-source BaaS platform with 56K+ GitHub stars providing authentication, databases, storage, functions, messaging, and real-time APIs out of the box. Self-hostable alternative to Firebase with 15+ client and server SDKs. Features OAuth login with 30+ providers, document-based database with queries, file storage with image transforms, serverless functions, and push notifications. Docker-based deployment with a web console for management.

Terraform pull request automation via GitHub/GitLab comments

Atlantis is a self-hosted Terraform pull request automation tool that runs plan and apply operations triggered by GitHub, GitLab, Bitbucket, or Azure DevOps comments. Type 'atlantis plan' on a PR to see infrastructure changes, then 'atlantis apply' to deploy. 9,100+ GitHub stars, Apache 2.0 licensed. Widely adopted as the standard for GitOps-style Terraform workflows, with locking to prevent concurrent modifications to the same resources.

Desktop app for running AI coding agents in parallel

Baton is a desktop application for running multiple AI coding agents in parallel inside isolated git worktrees. It supports Claude Code, Codex CLI, OpenCode, Gemini CLI, visual diffs, status notifications, MCP server support, built-in Git operations, and one-click PRs to GitHub or GitLab.

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.

Better Stack is a hosted observability and incident-management platform that combines uptime monitoring, on-call workflows, status pages, logs, traces, metrics, error tracking, session replay, and an AI SRE interface. It is aimed at teams that want one SaaS control plane for telemetry and incident response.

Automated code quality

Codacy is a managed code quality, security and AI-guardrails platform for GitHub, GitLab and Bitbucket teams. It scans pull requests and repositories for quality, coverage and security issues while adding AI Inventory, AI Guardrails, AI Risk Hub, AI Reviewer and Verity beta surfaces for AI-assisted engineering.

All-in-one AI code review, security, and quality

CodeAnt AI combines AI code review, SAST, secret detection, IaC security, policy enforcement, compliance dashboards, and agentic pentesting in one platform for engineering teams that want code quality and security checks before production.

Tool infrastructure for AI agents

Composio connects AI agents to 1,000+ app toolkits with managed auth, delegated user connections, sessions, tool search, MCP gateway support, CLI workflows, and sandboxed workbench execution. It targets developers building Claude, Codex, Cursor, LangChain, CrewAI, OpenAI Agents SDK, and custom agent workflows that need authenticated business actions without hand-rolling every API integration.

Evaluation-first LLM and agent observability

Confident AI is an evaluation-first observability platform that scores every trace and span with 50+ metrics, alerting on quality drops in LLM and agent applications. It goes beyond traditional APM by treating evaluation as core observability, providing actionable insights that help teams understand not just whether their AI applications are running but whether they are producing correct and useful outputs.

High-performance open-source web crawler optimized for AI pipelines

Crawl4AI is an open-source Python web crawler built for AI and data-pipeline use cases. It produces LLM-ready Markdown, supports structured extraction, Playwright/browser automation, deep/adaptive crawling, proxy/security controls, anti-bot fallback patterns, and multiple output formats. With 68K+ GitHub stars and Apache-2.0 licensing, it is a strong local/self-hosted option for RAG datasets and agent data collection.

Open-source vulnerability management aggregator

DefectDojo is an open-source vulnerability management platform with 4.7K+ GitHub stars that aggregates findings from 200+ security tools into a single view for ranking, triaging, and tracking remediation. It serves as the operating system for security teams by normalizing data from SAST, DAST, container scanners, and dependency checkers into a unified workflow with deduplication and metrics.

Autonomous Java unit test generation in CI

Diffblue Testing Agent orchestrates verified regression unit test generation for Java and Python projects through existing AI coding platforms such as GitHub Copilot CLI and Claude Code. It measures baseline coverage, generates tests, verifies that they compile and pass, and charges for net new coverage lines added rather than per seat or API call.

Open-source agentic development environment for parallel AI agents

Open-source agentic development environment for running multiple coding agents in parallel using isolated Git worktrees.

Open-source ML and LLM monitoring with 100+ metrics

Evidently AI is an open-source platform with 100+ pre-built metrics for monitoring data quality, model performance, and data drift in AI/ML pipelines. Available under Apache 2.0 with a cloud version, it helps teams detect when production data shifts away from training distributions, LLM output quality degrades, or feature pipelines introduce anomalies that silently degrade model accuracy.

Enterprise-grade AI coding agent system by Factory

Factory's AI coding agent, available in the Factory App (desktop, web and mobile), the Droid CLI, headless droid exec and Factory-hosted Droid Computers. Custom droids (subagents) with their own prompt, model and tool policy take focused tasks, and Missions orchestrate large multi-feature projects. Works with Anthropic, OpenAI and other native models, plus BYOK, open-source and local models. Enterprise-focused, with automated code review, QA, docs and incident response.

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.

CyberArk's open-source LLM fuzzing framework for AI security testing

FuzzyAI is CyberArk's Apache-2.0 framework for fuzzing LLM APIs to identify jailbreaks and related security vulnerabilities. Current README examples cover Ollama/local models, OpenAI, Anthropic, custom REST endpoints, and attacks such as ManyShot, Taxonomy, and ArtPrompt. Use it as a repeatable security-testing starting point, not a complete AI risk-management system.

AI-native Git client with virtual branches and smart commits

GitButler is a source-available Git client for virtual/stacked branches, AI-assisted workflows, and intelligent conflict resolution. Co-founded by Scott Chacon, it helps developers organize commits and work on multiple changes simultaneously. 21K+ GitHub stars; FSL-1.1-MIT license model.

Mission control for software projects and AI agents (formerly Gitpod, now part of OpenAI)

Ona (formerly Gitpod, acquired by OpenAI) is an agentic software development and cloud development environment platform that orchestrates projects, ephemeral workspaces, and autonomous engineering agents.

Rust-native multi-agent orchestration for production

GraphBit is a Rust-native, multi-agent orchestration framework built for production. It targets the gap between Python-first frameworks like LangGraph and the operational expectations of enterprise systems — predictable memory, low latency, deterministic concurrency, and the ability to embed an agent runtime in services that already run Rust without dragging in a Python interpreter.

xAI's terminal coding agent with parallel subagents and worktree-aware automation

Grok Build is xAI’s terminal-first coding agent for planning, editing, testing, and reviewing code from a local CLI. It exposes subagent controls, worktree mode, headless JSON output, best-of-N parallel attempts, sandbox profiles, and cross-session Memory (/memory, /dream) for durable project conventions and facts. It fits developers comparing Claude Code, Codex, and Gemini CLI for local agentic workflows with deeper parallel execution.

Community Grok terminal agent for xAI-powered coding and command-line workflows

Grok CLI is a community command-line interface for using xAI/Grok models from a terminal workflow. It fits developers who want a lightweight, scriptable Grok surface for coding help, command-line experiments, and local agent-style interactions without waiting for a heavier IDE integration. For aicoolies, it belongs in the fast-growing AI CLI agents lane beside Grok Build, Claude Code, Codex, Gemini CLI, and Qwen Code.

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.

Open-source agentic engineering platform

Open-source agentic AI coding platform for VS Code, JetBrains IDEs, CLI, Slack, and Cloud that combines inline autocomplete, browser automation, automated refactoring, and custom planning/coding/debugging modes. Operates on a plan-act-observe-fix loop with 500+ model support (Gemini, Claude, GPT via OpenRouter). Memory Bank feature maintains repo-resident context across sessions, and codebase indexing keeps the agent grounded in your project.

Framework for LLM applications

The most widely-used framework for building LLM-powered applications, available in Python and JavaScript. Provides abstractions for chains, agents, RAG, memory, tool usage, and structured output. Integrates with 100+ LLM providers, vector stores, document loaders, and tools. LangSmith offers tracing and evaluation. LangGraph enables stateful, multi-agent workflows with cycles. 100K+ GitHub stars. The de facto standard for LLM application development despite growing alternatives like LlamaIndex.

Unified API proxy for 100+ LLMs

Drop-in OpenAI-compatible proxy supporting 100+ LLM providers with load balancing, spend tracking, rate limiting, and fallback routing. Acts as a unified gateway for all your AI model calls, letting teams switch between providers, enforce budgets, and add reliability layers without changing application code. Essential infrastructure for multi-model AI architectures.

AI full-stack app builder

Build production-ready applications from text and image prompts. Full-stack with Supabase backend, authentication, and one-click deployment. Formerly GPT Engineer, backed by top investors. Targets non-technical founders and product teams who want to go from idea to deployed app in minutes, with AI handling both frontend UI and backend infrastructure setup.

Full-stack observability platform with OpenTelemetry-friendly telemetry, LLM observability, and AI SRE workflows.

Middleware is a full-stack observability platform for infrastructure, APM, logs, metrics, traces, RUM, synthetics, browser testing, LLM observability, and AI SRE workflows. It targets teams that want OpenTelemetry-friendly telemetry, faster incident correlation, and a 14-day free trial before Pay As You Go or Enterprise observability commitments and rollout planning.

Beautiful documentation that converts

AI-powered documentation platform that transforms markdown into beautiful, searchable docs sites with minimal config. Features AI writing suggestions, auto API reference generation from OpenAPI specs, built-in analytics, versioning, custom domains, and a web editor for non-technical contributors. Supports MDX for interactive components. GitHub integration for CI/CD updates. Used by Anthropic, Cursor, Turso, and hundreds of developer-focused companies.

Open-source personal AI agent for messaging apps

OpenClaw is a free, open-source AI agent framework that turns any LLM into an autonomous personal assistant accessible through messaging apps like WhatsApp, Telegram, Discord, and Signal. Running entirely on your local machine via a Node.js gateway, it connects AI models to system tools, browsers, files, and APIs for multi-step task execution with persistent memory across sessions.