Tools

Multimodal data labeling and curation for production AI

Encord is a data labeling and curation platform for teams building production AI systems with complex multimodal data. It supports image, video, audio, DICOM medical imaging, and 3D point cloud annotation with AI-assisted labeling, advanced ontology management, and quality assurance workflows. Features active learning for prioritizing high-value samples and integrates with major ML frameworks.

Dependency lifecycle management and risk reduction

Endor Labs is a dependency management platform that goes beyond vulnerability scanning to assess the overall risk of open-source dependencies. Evaluates maintainer activity, code quality, popularity trends, licensing, and operational risk alongside CVEs. Features reachability analysis to determine if vulnerabilities are actually exploitable in your codebase. Provides dependency selection guidance for choosing safer alternatives. Reduces alert fatigue by prioritizing truly risky dependencies.

Security operations resilience for SOC teams

Fig provides a Security Operations Resilience platform designed for modern SOC teams facing both unplanned and planned changes. Features drift detection to catch unplanned infrastructure changes, automated drift repair with testing, planned change modeling to simulate initiatives before deployment, version control, and automatic deployment with rollbacks. Helps teams maintain security coverage while shipping risk-free at 10x speed and focusing on strategic cyber work.

Design-to-code handoff and CSS generation

Figma Dev Mode is a dedicated workspace within Figma designed specifically for developers to inspect designs, extract code snippets, and access implementation details without navigating the full design environment. It solves the design-to-development handoff problem by providing a focused, code-oriented view with measurements, component properties, design tokens, and ready-to-use code in CSS, iOS, and Android formats.

AI QA agent specialized for mobile apps

FinalRun is a specialized AI QA agent for mobile applications that automates testing of complex mobile gestures and flows on both iOS and Android platforms. It addresses the specific mobile QA gap that generic web-testing tools miss, handling touch interactions, swipe gestures, device rotation, and platform-specific behavior that require mobile-native understanding.

AI-powered resilient mobile test flows

GPT Driver is a mobile app QA tool that uses generative AI to create resilient test flows with self-healing capabilities and broad framework support for cross-platform applications. It leverages AI to handle the non-deterministic nature of mobile UI where elements shift between releases, generating tests that adapt to layout changes rather than breaking on every app update.

Cloud platform for app deployment

Heroku is one of the original platform-as-a-service providers, letting developers deploy and scale web apps with a simple `git push heroku main`. Pioneered buildpacks, dyno-based scaling, and the add-on marketplace for managed Postgres, Redis, workers, and observability. Now a Salesforce product supporting Node.js, Ruby, Python, Java, Go, PHP, and custom Docker containers.

AI security platform for model protection and threat detection

HiddenLayer is an AI security platform that protects machine learning models across their full lifecycle. It provides runtime model security to detect adversarial attacks in real-time, model scanning for supply chain threats in model files, automated red teaming for vulnerability assessment, and AI guardrails for prompt injection defense. Backed by $31.9M from M12 and IBM Ventures, named Gartner Cool Vendor 2024.

Architect agent that builds with reusable components

Hope AI by Bit Cloud is an architect agent with 18,000+ GitHub stars on the Bit platform that builds professional software using reusable components. It proposes entire software architectures, generates code with documentation and test coverage, and ensures clean component patterns, addressing the architectural integrity gap that most vibe-coding tools ignore when generating code.

Professional IDEs with Junie AI coding agent

JetBrains is a software development company that produces a family of language-specific IDEs built on the IntelliJ platform — IntelliJ IDEA (Java/Kotlin), PyCharm (Python), WebStorm (JS/TS), PhpStorm, RubyMine, GoLand, Rider (.NET), and CLion (C/C++). Each IDE provides deep, language-aware tooling: smart refactoring, static analysis, test runners, debuggers, and first-class AI Assistant and Junie coding agent integration.

Entity-based synthetic data generation for enterprise

K2view is an enterprise data platform that generates synthetic data using an entity-based micro-database architecture. It ensures referential integrity across complex multi-relational datasets by treating each business entity as a self-contained unit. Used for privacy-compliant test data generation, data masking, and AI training data creation in financial services, telecom, and healthcare industries.

Control plane for autonomous AI agents

Keycard is the control plane for autonomous agents, providing identity verification, policy enforcement, and scoped access management. Resolves agent identity, enforces security policies, and issues time-limited resource-specific access tokens. Provides full visibility into every agent action with drift detection, automatic remediation, and integrations with Datadog, Linear, GitHub, and other services for agent-driven incident response and security operations.

Zero-markup credit subscription for 500+ AI models

Flexible AI coding credits: $19/mo ($28.5 in credits), $49/mo ($73.5 in credits), $199/mo ($298.5 in credits). Balance never expires and monthly bonus credits stack over time. Works across multiple AI coding agents and IDEs through a unified billing system, giving developers the freedom to use different tools without managing separate subscriptions.

Customer engagement infrastructure for developers

Knock is flexible notification and customer engagement infrastructure built for developers and AI agents. Send messages across email, SMS, push, chat, and in-app channels from a single API. Features AI-native journey building with single-prompt workflows, advanced segmentation with dynamic attributes, in-app messaging with custom components, data unification across warehouse and CDP, and version control with rollbacks. Delivers hundreds of millions of messages monthly with 99.99% uptime.

AI documentation for legacy codebases

Kodesage is an AI platform designed for navigating and documenting legacy systems, consolidating knowledge from code, issue tickets, and wikis to generate function-level documentation. It creates AST-based code maps that help teams understand complex 20-year-old codebases in plain English, with on-premises and air-gapped deployment options for high-security enterprise environments.

Data factory for AI teams and model training

Labelbox is a comprehensive data platform for AI teams handling reinforcement learning, evaluations, robotics, and human feedback workflows. Core capabilities include RL data generation with knowledge work rubrics, custom evaluations for private benchmarks and model comparisons, robotics data with full-stack video and trajectories, and an expert network of 1.5M+ knowledge workers including 50K+ PhDs. Trusted by 80% of leading AI labs for production data operations.

GenAI-powered test agent with natural language test authoring

KaneAI is LambdaTest's GenAI-powered test automation agent that creates, evolves, and debugs tests from natural language descriptions. It generates test scripts in multiple frameworks including Selenium, Playwright, and Cypress from plain English instructions. Features intelligent test maintenance that automatically updates tests when application UI changes and two-way editing between natural language and code.

AI copilot for the Lens Kubernetes IDE

Lens Prism is an AI copilot integrated into the Lens Kubernetes IDE (the world's most popular K8s desktop client) that troubleshoots clusters, explains errors in plain English, and helps manage multi-cluster environments visually. It simplifies Kubernetes complexity for developers who prefer visual tools over CLI, providing AI-powered debugging and cluster management within a familiar desktop interface.

Auto-generate API docs from live production traffic

Levo.ai generates OpenAPI specifications and API documentation automatically from live production traffic using eBPF-based instrumentation. It captures real request/response patterns to create always-accurate API docs that eliminate documentation drift. Features include automated API discovery, security testing of documented endpoints, and Postman collection generation without requiring code changes.

AI localization engine for software and docs

Lingo.dev is a Y Combinator F24-backed AI localization engine that automates translation of software interfaces and technical documentation into multiple languages while maintaining technical context. It preserves code variables, formatting tokens, and technical terminology that generic translation tools mangle, solving the global reach problem for developer-facing products and documentation.

Low-code AI test automation for modern teams

Mabl is a low-code AI test automation platform for end-to-end testing of web apps, APIs, mobile, and accessibility. Uses machine learning for auto-healing tests that adapt to application changes, reducing flaky test maintenance. Features a no-code visual builder, parallel cross-browser execution, performance testing, and native CI/CD integration. Provides unified reporting with insights into test coverage and quality trends. Integrates with Jira, Slack, GitHub, and major CI/CD tools.

AI-powered frontend testing with zero flakiness

AI-powered tool that automatically generates and maintains E2E tests by recording user sessions in production or staging. Eliminates flaky tests by replaying user flows deterministically without writing a single line of test code. Detects visual and functional regressions by comparing recorded flows against new deployments, catching bugs that traditional test suites often miss.

Automated AI security testing and red teaming platform

Mindgard is an automated AI security testing platform that provides continuous red teaming for machine learning models and LLM applications. It detects vulnerabilities including adversarial attacks, prompt injection, data poisoning, and model extraction through systematic probing. Offers end-to-end testing across the AI lifecycle with enterprise compliance reporting and integration into CI/CD pipelines.

Multi-model coding subscription by Minimax

The MiniMax Coding Plan is a subscription service providing developers with flat-rate access to MiniMax's AI models for coding tasks, with three monthly tiers designed to offer dramatically more value than per-token pricing from Anthropic or OpenAI. MiniMax positions its coding plans as delivering capacity equivalent to Claude Code Max at a fraction of the cost, making high-performance AI coding assistance accessible to a broader range of developers.

Native macOS code editor by Panic

Beautiful native macOS code editor by Panic with first-class Swift integration, built-in terminal, and Git support. Features an extensions library, local and remote development capabilities, and a polished UI that feels at home on Apple hardware. The premium choice for Mac developers who want a fast, elegant editor that embraces macOS design conventions rather than wrapping a cross-platform framework.

Autonomous AI red teaming with black-box attack simulation

Novee is an AI security platform that performs autonomous black-box red teaming of AI systems. It uses an advanced reasoning engine to simulate determined adversaries, probing for complex chained attack scenarios like prompt injection leading to database access through AI agents. Tests for jailbreaks, data extraction, unauthorized actions, and multi-step exploit chains in LLM applications.

Open-source financial data platform for quants, analysts, and AI agents

OpenBB is an open-source financial data platform that normalizes data from 100+ providers into a unified Python SDK, REST API, and Excel Add-in. It serves as the open-source alternative to Bloomberg Terminal for developers building fintech applications, quantitative research pipelines, and AI-powered financial analysis tools. With over 65,000 GitHub stars and SOC 2 Type II certification, it is one of the most popular open-source developer tools for financial data.

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.

AI-powered marketing-ready READMEs from code

PitchDocs is an AI documentation generator that scans codebases to produce marketing-ready READMEs, changelogs, and AI context files like llms.txt. It bridges the gap between raw source code and consumer-ready technical communication, targeting the growing need for high-quality README files that serve both human developers and AI agents accessing documentation.

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.

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.

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.

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.

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.

Cursor for business workflow automation

Rebolt is a Y Combinator W25 company marketed as Cursor for business workflow automation, focusing on generating the business logic and internal UIs needed for complex company operations. It targets the internal tooling problem with an agentic automation approach, helping teams build custom workflow applications that connect existing business systems without traditional development cycles.

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-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.

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.

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.

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.

Multi-agent model API that orchestrates frontier models behind one OpenAI-compatible endpoint

Sakana Fugu is a hosted model-provider API that exposes a learned multi-agent system as one OpenAI-compatible model. It dynamically routes coding, code review, research, and reasoning tasks across a frontier-model pool, with Fugu for lower-latency work and Fugu Ultra for harder workloads where answer quality matters more than cost or speed.

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.

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.

Self-hosted UI and API for Ansible, Terraform, and scripts

Semaphore UI provides a web interface and REST API for running Ansible playbooks, Terraform and OpenTofu configurations, Bash scripts, and PowerShell commands from a centralized self-hosted platform. With over 13,000 GitHub stars and 2 million Docker pulls, it replaces AWX and manual terminal execution with a polished dashboard for scheduling, access control, notifications, and execution history across mixed infrastructure automation environments.

Production monitoring platform for AI agent reliability

Sentrial is a YC W26-backed monitoring platform for AI agent reliability in production. It semantically detects loops, hallucinations, tool misuse, and user frustration in real-time, then diagnoses root causes and recommends fixes. The platform claims 70% MTTR reduction via automated remediation including rollback, model retraining triggers, and webhooks. Sentrial positions itself as the Datadog for teams deploying autonomous AI agents at scale.

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.

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.