Best AI Tools for Developers in 2026

The most popular code assistant on the market, with inline completions, integrated chat and support for dozens of languages. Now with a generous free plan and deep integration with the GitHub ecosystem.

AI-native IDE based on VS Code with Composer for multi-file refactors, smart codebase indexing and real-time iteration. The experience of chatting with your project is transformative.

Autonomous code agent for the terminal by Anthropic. Operates directly in the command line, reading, writing and executing code with deep reasoning and 200K token context.

OpenAI's multimodal model that natively processes text, image and audio. The most mature API ecosystem on the market with extensive documentation and integration with thousands of tools.

Model family with the best reasoning on the market and 200K token context window. Excellent for complex code analysis, technical writing and tasks requiring deep understanding.

Google's most versatile model with advanced multimodal capabilities and 1M token context window. Native integration with the Google ecosystem and excellent performance on visual tasks.

The gold standard in AI image generation with unmatched artistic quality. V6 brought significant improvements in text in images, photorealism and style consistency.

Natively integrated with ChatGPT and OpenAI's API, offering the most accessible way to generate AI images. Excellent understanding of complex prompts and consistency with text descriptions.

The leading open-source alternative for image generation. Can be run locally with no recurring costs, with an active community creating custom models and extensions.

Market-leading observability platform with Bits AI for automatic incident correlation, root cause analysis and anomaly detection. Integrates metrics, logs and traces in a single platform.

Full-stack observability with New Relic AI for natural language queries, smart alerts and automated diagnostics. Generous free plan with 100GB of ingestion per month.

The most popular vector database for AI applications, with high-performance semantic search, metadata filtering and auto-scaling. Ideal for RAG, recommendations and similarity search.

Open-source vector database with hybrid search support (vector + BM25), built-in vectorization modules and GraphQL API. Can be self-hosted or used via managed cloud.

Search-as-a-service engine with Algolia AI Search for user intent understanding, intelligent re-ranking and recommendations. Sub-50ms latency and SDKs for all platforms.

AI-powered automated testing platform for test creation, maintenance and execution. Smart locators that adapt to UI changes and auto-healing that drastically reduces test maintenance.

Leader in visual testing with Visual AI that detects real visual differences while ignoring false positives. Supports cross-browser, responsive and accessibility testing with integration to all popular test frameworks.