384 Developer Tools (2026)

Low-cost multi-model coding subscription

Budget-friendly AI coding plan featuring GLM-5, Kimi K2.5, and MiniMax M2.5/M2.7 models at $10/mo with a $12/5h usage cap. Hosted in US, EU, and Singapore for global low-latency access. Compatible with OpenCode and any OpenAI-compatible coding agent, offering an affordable alternative to premium API-based coding subscriptions.

Visual testing and review platform

BrowserStack-owned visual testing platform for automated screenshot comparison across browsers and screen sizes. Integrates with CI pipelines to catch visual regressions before they reach production. Renders pages in real browsers and highlights pixel-level differences, helping frontend teams maintain visual consistency across every supported browser and viewport combination.

Connect 2,800+ APIs for workflows and AI agents

Pipedream is a developer-focused workflow automation platform that connects over 2,800 APIs with managed OAuth and credential handling, letting teams build integrations using Node.js, Python, Go, or Bash alongside a visual no-code builder. Its MCP server exposes 10,000+ pre-built tools to AI agents for direct API access through LangChain, CrewAI, and other frameworks. Pipedream is SOC 2 Type II and HIPAA compliant with credit-based pricing starting at a free tier of 100 credits per month.

Browser-based AI IDE for instant web development

Online code playground and IDE for JavaScript, TypeScript, React, Vue, and Angular — write, run, and share code instantly in the browser with zero setup. Full editor with syntax highlighting, IntelliSense, error detection, and direct npm package imports. Supports JSX/TSX, Vue single-file components, HTML/CSS/SCSS with built-in transpilation and bundling. Real-time preview, console output, multi-file projects, code formatting, and share-by-URL or embed in docs.

The browser for ambitious developers

Standalone browser built specifically for web developers and designers that shows multiple synchronized viewports side by side for responsive design testing. Features accessibility inspector (WCAG compliance checking), visual regression testing via screenshots, layout debugging overlays, meta tag validator, social media preview cards, and color contrast checker. Reduces the need for constant resizing and device switching during front-end development. Available on macOS, Windows, and Linux.

Internal developer portal for self-service engineering

Port is an internal developer portal platform that provides self-service interfaces for engineering teams. It offers a software catalog for tracking services, environments, and dependencies, along with self-service actions for common workflows like spinning up environments, deploying services, and managing resources. Features scorecards for engineering standards compliance and integrates with GitHub, GitLab, K8s, and cloud providers.

Modern PostgreSQL client for Mac

Native macOS client for PostgreSQL with a clean, intuitive interface designed for simplicity. Features a visual table editor for inline data editing, SQL query editor with syntax highlighting, table structure inspector, favorites for saved queries, and SSH tunnel support. Known for its polished Apple-native UI and ease of use compared to heavier tools. Ideal for developers and designers who need quick PostgreSQL access without enterprise complexity.

First commercially viable 1-bit LLMs that are 14x smaller and 8x faster

PrismML Bonsai delivers the first commercially viable 1-bit large language models with 8B, 4B, and 1.7B parameter variants. The 8B model runs in just 1GB of RAM versus 16GB for standard FP16 models, achieving 44 tokens per second on iPhone. Backed by $16.25M from Khosla Ventures and released under Apache 2.0, Bonsai makes capable LLMs practical for edge devices and resource-constrained environments.

Enterprise middleware for securing AI applications against prompt attacks

Prompt Security provides enterprise security middleware that protects AI applications from prompt injection, data leakage, jailbreaks, and toxic content generation. It sits between users and LLM APIs to inspect, filter, and sanitize inputs and outputs in real-time. Supports deployment as a proxy, SDK integration, or browser extension with customizable security policies and compliance reporting.

Autonomous cloud discount management with ML

ProsperOps uses machine learning to continuously optimize cloud commitment coverage including Savings Plans and Reserved Instances, achieving Effective Savings Rates of 40% or more on AWS, GCP, and Azure. It provides autonomous discount management with a performance-based pricing model where ProsperOps shares a percentage of the savings generated, aligning costs with actual value delivered.

AI group-buying for AWS cost reduction

Pump is a YC-backed platform that uses AI and group-buying power to automate AWS cost reduction, claiming up to 60% savings on compute through collective purchasing of Reserved Instances and Savings Plans. By pooling demand across multiple customers, Pump negotiates volume discounts that individual organizations cannot access, providing enterprise-level pricing to startups and mid-market companies.

Modern test management with AI organization

QA Sphere is a modern, clutter-free test management system that uses AI to organize test cases and track coverage across complex projects. It streamlines the management side of QA that is often handled through messy spreadsheets, providing structured test case repositories, execution tracking, and coverage analytics for technical project managers and QA leads.

AI-generated E2E tests, managed QA service

Fully managed QA service that uses AI to generate and maintain Playwright-based E2E tests. QA Wolf engineers write, run, and maintain tests on your behalf, targeting 80% coverage with custom pricing based on test volume. A unique hybrid approach combining AI test generation with human QA expertise, eliminating the burden of test maintenance that slows most engineering teams.

Agentic coding platform by Alibaba Cloud

AI IDE with Quest Mode for semi-autonomous long-running development tasks. Features context engineering that automatically surfaces relevant code, documentation, and project knowledge. Supports Claude, GPT, and Gemini models, letting developers delegate complex multi-step coding workflows while maintaining oversight through structured task tracking and progress reports.

Optimize and deploy AI models on Snapdragon devices

Qualcomm AI Hub is a platform for optimizing and deploying AI models on Snapdragon-powered devices with NPU acceleration. It provides pre-optimized models, profiling tools, and the SNPE SDK for compiling models to run efficiently on Qualcomm's Hexagon DSP and AI Engine. Supports hundreds of model architectures with on-device benchmarking across real Snapdragon chipsets for mobile, IoT, and XR applications.

Governed analytics with a unified semantic layer

Querio turns plain English into SQL queries with a focus on governed analytics, connecting to live data warehouses and enforcing a unified semantic layer across the organization. It ensures that AI-generated queries remain consistent with business logic definitions, preventing the common problem where different teams get different answers to the same question from the same data.

AI testing and evaluation for agents and LLM apps

RagaAI Catalyst is a comprehensive Python SDK for observability, monitoring, and evaluation of LLM and agentic applications. Provides agent tracing with execution graph visualization, self-hosted dashboard with analytics, synthetic data generation, multi-metric evaluation framework, and guardrail management. Built for teams running production RAG systems and AI agents who need systematic testing, debugging, and performance optimization workflows.

World's largest API hub and marketplace

RapidAPI is the world's largest API hub and marketplace connecting developers to thousands of public and private APIs through a single platform. Provides a unified interface for discovering, testing, and managing API connections with standardized authentication, billing, and monitoring. Features an API testing playground, code snippets in multiple languages, team workspaces, and analytics dashboards. Used by millions of developers to integrate third-party services with a single API key.

Beautiful, personalized API docs

Developer hub platform for creating interactive API documentation with try-it-now API explorer, auto-generated references from OpenAPI specs, custom landing pages, changelog, guides, and usage analytics. Features personalized docs that show API keys and example responses based on the logged-in user. Tracks which endpoints developers actually use. Integrates with GitHub for syncing docs from repos. Used by companies like Twilio and Shopify for their developer portals.

In-memory data store

In-memory data structure store used as database, cache, message broker, and streaming engine. Supports strings, hashes, lists, sets, sorted sets, streams, geospatial indexes, and HyperLogLog. Features pub/sub messaging, Lua scripting, transactions, persistence (RDB/AOF), replication, and Redis Cluster for horizontal scaling. Redis Stack adds JSON, search, time series, and graph capabilities. Sub-millisecond latency. Available as open-source or managed (Redis Cloud, AWS ElastiCache).

Kafka-compatible streaming platform, no JVM required

Redpanda is a Kafka-compatible streaming data platform written in C++ using the Seastar framework. It eliminates the need for ZooKeeper and the JVM, delivering up to 10x lower tail latencies and significantly reduced operational complexity. Redpanda ships as a single binary with a built-in schema registry, HTTP proxy, and message broker. It supports the Kafka wire protocol, so existing producers, consumers, and tools work without code changes. Backed by $165M+ in funding with 12.0K GitHub stars.

DRM and IP protection for AI model weights

RefortifAI is a Y Combinator P2026 batch company that provides DRM and intellectual property protection for AI models by obfuscating model weights so they only run inside a hardened runtime. It solves the critical problem of model weight protection for companies distributing custom LLMs to untrusted environments, preventing IP theft while maintaining inference performance.

Test generation from real user behavior sessions

Relicx uses generative AI to conduct visual and functional testing based on real user behavior captured from production sessions. It prioritizes the user experience in testing rather than just code coverage, generating regression suites from actual user journeys to ensure that the flows real people use most frequently are always covered by automated tests.

AI website wireframe and design generator

Generate complete website sitemaps and wireframes with AI in minutes. Relume outputs Figma and Webflow-ready component libraries, with a built-in library of 1000+ components and style guides. Ideal for designers and agencies who need to rapidly prototype client projects without starting from scratch every time.

Create videos programmatically with React

Remotion is a React framework that enables developers to create videos programmatically using familiar web technologies. Build videos as React components, leveraging CSS, Canvas, SVG, and WebGL for rendering. The framework includes Remotion Studio for browser-based preview with timeline scrubbing and fast refresh. Render locally, on servers, or via AWS Lambda for scalable video production. Ideal for automating social media content, data visualizations, and personalized marketing campaigns.

Cloud for the new default

Unified cloud platform for deploying web services, static sites, background workers, cron jobs, and managed databases with automatic scaling and zero DevOps. Auto-deploy from Git with preview environments, built-in DDoS protection, free TLS, and global CDN. Native runtimes for Node.js, Python, Go, Rust, Ruby, Elixir plus Docker. Managed PostgreSQL and Redis with daily backups, private networking, and infrastructure-as-code via Blueprints. Modern Heroku alternative with a free tier.

AI-powered production incident resolution

Resolve AI automates production incident investigation, diagnosis, and remediation acting as an AI SRE that participates in every on-call rotation. Autonomously investigates incidents pursuing multiple hypotheses in parallel, validates against real evidence, creates code snippets and drafts PRs, generates post-mortems, and onboards new teammates with instant answers about code and infrastructure. Drives 5x faster MTTR and 87% faster incident investigations.

Build internal tools remarkably fast with a visual builder and code when needed.

Retool is the leading low-code platform for building internal tools, admin panels, and dashboards. Used by 27,000+ companies including Amazon and DoorDash. Drag-and-drop UI components connect directly to databases, APIs, and services. Supports custom JavaScript and Python for complex logic. Reduces internal tool development time from weeks to hours.

AI model validation and risk management platform

Robust Intelligence is an AI risk management platform that validates ML models for security, fairness, and reliability before and after deployment. It provides automated stress testing, bias detection, data drift monitoring, and model risk scoring for enterprise compliance. Serves Fortune 500 customers in financial services, healthcare, and insurance with continuous AI validation aligned to regulatory frameworks.

Edge AI deployment SDK for heterogeneous SoCs

Roofline AI is a contact-sales edge AI deployment toolkit built around an MLIR- and IREE-based compiler. Its SDK compiles models ahead of time, a lightweight C runtime executes them across CPUs, GPUs, and NPUs, and a performance dashboard tracks latency, throughput, memory use, and model coverage across devices.

Agentic AI for software teams by Atlassian

AI-powered coding agent from Atlassian, deeply integrated with Jira, Bitbucket, and Confluence so it can validate code changes against acceptance criteria and plan multi-step development workflows aligned with team goals. Achieved 41.98% on SWE-bench full leaderboard at release. Available as both CLI and IDE integration, connecting project management and development within the Atlassian ecosystem.

GPU cloud platform for AI training and inference

RunPod is a GPU cloud platform providing on-demand and serverless GPU compute for AI training and inference workloads. It offers NVIDIA A100, H100, and RTX GPUs with per-second billing, serverless inference endpoints with auto-scaling, persistent storage, and Docker-based deployment. Popular with AI developers for its competitive pricing, fast provisioning, and developer-friendly API for deploying ML models at scale.

Multi-database AI query generator and optimizer

SQLAI.ai is a comprehensive AI toolkit for generating, optimizing, and explaining SQL queries across any database engine including both SQL and NoSQL systems. Supporting schemas with 600+ tables, it handles the full query lifecycle from natural language generation to performance optimization and cross-database migration, starting at $5/month as one of the most affordable AI SQL tools available.

Runtime guardrails validating AI agent actions before execution

Salus is a YC W26-backed platform that provides runtime guardrails for AI agents, validating actions before execution using policy-as-code defined in YAML, markdown, or plain English. It features evidence grounding for decision verification, structured feedback enabling 58% recovery rate when actions are blocked, plus PII detection, budget protection, and human-in-the-loop escalation. Agents with Salus follow policies at up to 60% lower cost with 52% reduced misalignment on frontier models.

Composable content platform for structured data

Sanity is a composable content platform providing a real-time, API-first content backend with a customizable editing studio. Content is stored as structured data accessible via GROQ query language or GraphQL. Features real-time collaboration, portable text for rich content modeling, image pipeline with on-the-fly transformations, and webhooks for content-driven workflows. The open-source Sanity Studio provides a fully customizable React-based editing interface deployable anywhere.

AI-native observability for multi-agent systems

Sazabi is an AI-native observability platform designed for fast-moving engineering teams building with LLMs and multi-agent systems. Backed by leaders from Vercel and LangChain, it provides multi-agent tracing, tool-call visualization, and latency analysis for complex agentic workflows. Focuses on helping developers debug the complete path of requests through interconnected agents and tool calls.

Autonomous Kubernetes and GPU infrastructure optimization

ScaleOps provides autonomous real-time management of Kubernetes and GPU infrastructure, reducing cloud costs by up to 80 percent without manual configuration. Backed by 130 million in Series C funding at an 800 million dollar valuation, it serves enterprises including Adobe, Wiz, DocuSign, and Salesforce. The platform continuously rightsizes pods, optimizes replicas, manages nodes, and allocates GPUs based on live workload demand rather than static configurations.

Auto-capture workflows into step-by-step documentation

Scribe automatically captures your on-screen workflows and converts them into step-by-step documentation with annotated screenshots. Simply perform a process with the browser extension or desktop app active, and Scribe generates a shareable guide with numbered steps, highlighted click targets, and descriptive text. Used for creating SOPs, training materials, and onboarding docs without manual documentation effort.

Parallel coding agent environment by Imbue for complex projects

Sculptor by Imbue is a parallel coding agent environment that enables multiple AI agents to work simultaneously on different parts of a codebase. It provides sandboxed execution environments where agents can write, test, and iterate on code independently before merging changes. Designed for large-scale software projects where single-agent approaches hit context and coordination limits.

Browser-based AI SQL editor with modern UX

Sheeta.ai is a browser-based AI SQL editor designed to modernize the data workflow with a simple, intuitive interface and high-accuracy query generation. It addresses the UX gaps of traditional database tools like DBeaver by providing a clean, modern interface with AI-powered query suggestions, schema visualization, and result exploration built for the contemporary data stack.

Extensible open-source AI code review agent with emerging QA automation

Open-source (MIT) AI code-review agent formerly known as Code Review GPT. Its released workflow reviews pull requests in GitHub Actions or staged changes locally, supports remote MCP tools and project instruction files, and works with Anthropic, OpenAI, OpenRouter, and Cloudflare providers. The main branch also contains an unreleased autonomous QA workflow. Anonymous usage telemetry is enabled by default and can be disabled.

Where work happens

Enterprise messaging platform for team communication with channels, direct messages, threads, and huddles (audio/video calls). Features rich app integrations via Slack API and Bolt framework, Workflow Builder for no-code automations, Canvas for collaborative docs, Slack Connect for cross-company channels, and file sharing. AI features summarize threads and channels. Integrates with 2,600+ apps. Owned by Salesforce. The de facto real-time communication tool for tech companies and developer teams.

Data-centric AI platform for programmatic data labeling

Snorkel AI is a data-centric AI platform that enables programmatic labeling of training data through labeling functions rather than manual annotation. Spun out of Stanford AI Lab, it lets teams write Python functions that encode domain heuristics to label data at scale, with the platform combining weak labels into high-quality training sets. Used by Fortune 500 companies for text, image, and structured data labeling.

Supply chain security for npm and Python packages

Socket.dev detects and prevents supply chain attacks in open-source dependencies before they compromise your applications. Unlike traditional SCA tools that match known CVEs, Socket analyzes package behavior — detecting install scripts, network access, filesystem operations, and obfuscated code that indicate malicious intent. Monitors npm, Python (PyPI), and Go packages in real-time. Provides GitHub PR comments with risk assessments for new dependencies added to your projects.

AI production engineer that auto-triages and fixes alerts

Sonarly is a YC W26-backed AI production engineer that autonomously triages production alerts, deduplicates them by root cause, and sends ready-to-merge pull request fixes. It connects to monitoring tools like Sentry and Datadog, analyzes alert patterns to identify the underlying issue, and generates code fixes or optimization recommendations. Built on Claude APIs, Sonarly reduces mean time to resolution for production incidents while minimizing alert fatigue for engineering teams.

Enterprise software composition analysis for supply chain security

Sonatype Lifecycle is an enterprise software composition analysis platform that identifies vulnerabilities, license risks, and quality issues in open-source dependencies throughout the development lifecycle. It integrates with IDEs, CI/CD pipelines, and artifact repositories to block risky components before they enter the codebase. Backed by the largest vulnerability database with proprietary research beyond public CVE data.

AI-powered Infrastructure as Code management platform

IaC orchestration platform with AI-powered policy suggestions, drift detection, and automated remediation. Supports Terraform, OpenTofu, Pulumi, CloudFormation, Ansible, and Kubernetes. Centralizes infrastructure management with approval workflows, cost estimation, and compliance guardrails for teams running multi-cloud environments at scale.

Auto-generate SDKs and docs from backend routes

Speakeasy uses AI to parse backend API routes and auto-generate production-ready SDKs in multiple languages alongside OpenAPI documentation. It ensures that client libraries and documentation always match the current backend implementation, eliminating the drift between API code, SDK behavior, and documentation that plagues most API-first teams as their services evolve.