83 Developer Tools (2026)

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.

All-in-one browser DevTools extension for web developers

Hoverify is a browser extension that consolidates essential web development tools into a single overlay interface. It provides element inspection with CSS details, responsive design testing, accessibility checking, color picking, screenshot capture, and asset downloading. Activated by hovering over any webpage element, it provides instant development context without opening browser DevTools.

AI subscription for all JetBrains IDEs

JetBrains AI Pro is the professional-tier subscription plan for JetBrains AI Assistant, providing enhanced AI capabilities within JetBrains IDEs beyond the free tier. It serves developers who require consistent, high-quality AI assistance throughout their daily workflow without hitting usage limits. AI Pro bridges the gap between the limited free tier and the premium AI Ultimate plan, offering expanded cloud AI credits at an accessible price.

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.

Citation-first answer engine and AI support agents for docs

Enterprise-grade AI answer engine and agent platform purpose-built for complex technical products and developer documentation. Ingests source code, OpenAPI specs, documentation portals, and community channels to deliver accurate, citation-grounded support agents across websites, Slack, Discord, and hosted MCP servers. Trusted by over 200 leading tech enterprises with built-in ticket deflection and content gap analytics.

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.

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.

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.

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.

Terminal AI coding agent powered by Meta Muse Spark models

Muse Code is Meta autonomous terminal coding agent powered by the Muse Spark model family. Designed for multi-agentic software engineering, it inspects repositories, plans architectural changes with approval gating, executes edits across multiple files, and maintains crash-resilient session event logs.

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.

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.

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.

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-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.

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.

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.

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.

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.

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.

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.

Enterprise feature platform for real-time ML

Tecton is an enterprise feature platform for building and serving ML features at scale. Created by the team behind Feast, it provides managed feature engineering, real-time feature computation from streaming data, feature monitoring, and a unified feature store with offline/online consistency. Used by production ML teams to eliminate training-serving skew and accelerate model deployment cycles.

Agentic AI security posture management

Trent AI is a specialized security platform for agentic AI applications providing AI Security Posture Management that compounds with every development cycle. Scans, judges, mitigates, and evaluates AI agent security detecting threats traditional tools miss including prompt injection attacks, tool misuse, unintended autonomous actions, data exfiltration through agent chains, and privilege escalation. Offers continuous assessment with remediation plan execution through Claude Code.

Autonomous coding agents that ship while you sleep

Twill is an autonomous coding agent platform that implements features, fixes bugs, and ships pull requests without manual intervention. Uses structured workflow of research, planning, human review, implementation in isolated sandbox, AI code review, then merge. Supports custom agent configurations with multiple LLM providers, isolated dev environments for verification, and integrations with GitHub, Linear, Sentry, Notion, and cloud platforms for end-to-end engineering automation.

AI-managed spot instances for production workloads

Xosphere automates the use of AWS Spot Instances for production workloads using ML to select instances based on availability and cost-performance balance. It installs in 10 minutes via CloudFormation and provides high-availability reliability with cheap spot pricing, automatically managing instance selection, interruption handling, and failover for teams wanting significant compute cost savings.

GLM Coding Plan by Z.AI — subscription access to GLM-5.3 for agents and IDEs

Z.AI’s GLM Coding Plan is a fixed-quota coding subscription for AI IDEs and coding agents, powered by Zhipu’s GLM-5.3 and GLM-5.3-Flash (not a Kimi plan).

AI-native SAST with automated PR security reviews

ZeroPath is an AI-native SAST and AppSec platform recognized as an RSAC 2026 finalist that provides automated pull request security reviews with contextual feedback and natural-language fix suggestions. It catches secrets, IaC misconfigurations, and logic flaws in code changes, competing directly with established code review tools but with a security-first AI-native architecture.

AI-powered autonomous cloud cost optimization for AWS

Zesty uses AI to automatically optimize AWS cloud costs by analyzing usage patterns and making real-time resource adjustments. It manages Reserved Instance and Savings Plan portfolios autonomously, right-sizes EC2 instances based on actual utilization, and optimizes EBS volumes and storage costs. Claims average 51% savings on AWS compute spend with no engineering effort required.