Developer Tools Startups funded by Y Combinator (YC) 2026

GitLab is the first single application for the entire DevOps lifecycle. Only GitLab enables Concurrent DevOps, unlocking organizations from the constraints of today’s toolchain. GitLab provides unmatched visibility, radical new levels of efficiency and comprehensive governance to significantly compress the time between planning a change and monitoring its effect. This makes the software lifecycle 200% faster, radically improving the speed of business. GitLab and Concurrent DevOps collapses cycle times by driving higher efficiency across all stages of the software development lifecycle. For the first time, Product, Development, QA, Security, and Operations teams can work concurrently in a single application. There’s no need to integrate and synchronize tools, or waste time waiting for handoffs. Everyone contributes to a single conversation, instead of managing multiple threads across disparate tools. And only GitLab gives teams complete visibility across the lifecycle with a single, trusted source of data to simplify troubleshooting and drive accountability. All activity is governed by consistent controls, making security and compliance first-class citizens instead of an afterthought. Built on Open Source, GitLab leverages the community contributions of thousands of developers and millions of users to continuously deliver new DevOps innovations. More than 100,000 organizations from startups to global enterprise organizations, including Ticketmaster, Jaguar Land Rover, NASDAQ, Dish Network and Comcast trust GitLab to deliver great software at new speeds.

Our mission is to make every search interaction meaningful & rewarding, through developer-friendly and enterprise-grade APIs. Algolia is the leading Search & Discovery API for websites and mobile apps. We help the most innovative companies across e-commerce, media and SaaS industries create powerful, relevant and scalable discovery experiences for their users. Unlike other solutions, our hosted platform reduces the complexities of building and scaling a fast, relevant digital experience and helps teams accelerate development time. More than 9,000 companies like Under Armour, Twitch, Periscope, Medium and Stripe rely on Algolia to manage 50+ billion search queries a month. Founded in 2012, we're backed by $184M in funding from Accel Partners, Alven Capital, Point Nine Capital and Storm Ventures. The team is headquartered in San Francisco with offices in Paris, London, New York, and Atlanta. To learn more, visit www.algolia.com. --- We’re looking for talented, passionate people to build the world’s best search technology. As an ownership-driven company, we seek team members who thrive under autonomy and diversity. We're committed to building an inclusive and diverse workplace. We care about each other and the world around us, and embrace talented people regardless of their race, age, ancestry, religion, sex, gender identity, sexual orientation, marital status, color, veteran status, disability and socioeconomic background

Since graduating from YC, Amplitude (W12) has made it to IPO and beyond by helping cutting edge startups become category leaders. We’ve pioneered the digital analytics category to become the go-to solution for AI pioneers (Cruise, Midjourney), apps that touch millions of consumers (Doordash, Coinbase), and the best in B2B (Atlassian, Rippling, Canva). With product analytics, experiment, CDP, session replay, and more, Amplitude’s digital analytics platform shows you what your users love, where they’re getting stuck, and what keeps them coming back. You want to build a generational business, and we have the capabilities and pricing plans to guide you every step of the way. Check out our special deal for YC companies and get started on your analytics journey.

Probe is an incident management platform built for AI agents. It uses a knowledge base to ground agents in the context buried across a team's stack and surfaces the right pieces the moment an engineer is paged. When an incident hits, the agent is already working from the team's tribal knowledge: what happened and why, who has touched the code before, where it broke last time, and who to wake versus who to let sleep. Engineers debug faster and simply approve the fix. Once resolved, Probe writes the postmortems and updates your knowledge base so every incident makes the next one easier.

BentoLabs is the monitoring and learning layer for long-running agents. We detect when agents silently fail or drift from the user's goal, system prompt, or tool contracts, show affected users and root cause, and suggest the prompt, skill, or harness fix. As more teams deploy agents, keeping them reliable in production becomes mission-critical. Bento sits directly in the production loop and gives teams the operational leverage required to scale agent ecosystems without scaling human firefighting alongside them. The result is a system that turns opaque agents into agents that can be monitored, debugged, and improved continuously. The founders learned this problem at Emergent (YC S24), where they built and operated production coding agents used by 5M+ users. Abhinav was hire #1 and helped Emergent hit SWE-Bench #1 and scale from $0 to $100M ARR in just 8 months. Kaushik was hire #2, led full-stack engineering at Emergent, and was key to building the infrastructure that made production agents reliable, observable, and debuggable. Bento's self-learning engine has also lifted ARC-AGI-3 (internal) by 2.6x and Terminal-Bench 2.0 (internal) from 42.2% to 52.4% pass@1 with the same model, tools, and budget.

Create agents with structured english and markdown. OpenProse agents are portable across model providers and harnesses. Our framework allows you to declare intents, responsibilities, and outcomes in natural language, while the agents self-configure to deliver results. Read more about how OpenProse came to be: https://x.com/irl_danB/status/2011122779890831601 If you want to learn more about OpenProse, book some time with the founder here: https://cal.com/irl-danb/openprose-intro

Hessian is the platform for automating business operations with AI agents. We forward deploy on-site to map the work, and build the agents on our platform to run it end-to-end. Unlike off-the-shelf tools that don't know your business, you get a partner that owns the software and operates it every day. Why now? Coding agents have matured to the point where, combined with our engineering judgment we've built across a decade of shipping production systems, we can scale forward-deployed engagements with minimal headcount. Furthermore, our FDE agents and tooling will accelerate how quickly we automate workflows on our platform. We're already saving our customers hundreds of hours a month. Trillions of dollars a year are spent on knowledge work, and we're building the standard for how every company deploys, operates, and governs the AI agents that do it.

Deep Interactions is a humans-in-the-loop AI builder. We don't leave you with a spaghetti mess of a code. We bring product intelligence and power the context layer that enables your team to build in sync - saving companies tokens, time, and nerves. You give us a problem and we ship a working AI product in the same afternoon.

AI marketing service for developer tools. We turn your real product into social posts and demo videos in your voice automatically. Think of it as a clone of you that's also marketing your company at the same time. Memoir is one system. It reads your repo, drives your live staging app with an AI agent, generates branded demo videos with synthetic data so dashboards look real and narrates them in a voice cloned from yours. For the social side, we monitor what's actually getting traction in your space right now. The threads going viral on dev-tools X, the posts climbing on HN, the formats your audience is engaging with this week, and we draft posts in your writing voice that ride those currents. You review everything before it goes out. The output is indistinguishable from how you'd write and record it yourself, if you had the time and a full marketing team behind you.

Expanse unlocks wasted GPU capacity. We recover idle compute through three capabilities: resource prediction (right-sizing job submissions before they reach the scheduler), optimisation suggestions (code and config changes researchers can apply themselves), and failure prediction (catching jobs that will fail before they consume hours of GPU time). We’re four engineers. We ran HPC and GPU training workloads at the largest quant funds and national supercomputing centres. We faced this problem first hand and the only fix was to over-provision and burn millions. Ismaeel built the first multimodal HPC resource predictor as research at EPCC (Edinburgh’s Parallel Computing Centre), which beat every published baseline. This is the tool we wish we had.

Revnu is your AI growth team. Built to run your whole GTM while you focus on building, Revnu is the best way to grow with AI You keep shipping. We run the business.

Archal lets you test agents and code that touch third-party APIs without hitting the real services. We build working clones of popular SaaS platforms that hold state across requests and behave like the originals, so you catch bugs before your agent does something irreversible in production.

Lightsprint is a collaborative platform for software teams to plan visually, preview live and ship with an army of cloud agents. Your whole team, including non-engineers, can now ship end to end reliably. The company is founded by Ben Ong, an AI investor who previously scaled AI products at SEA Group (NYSE: SE) and Temasek ($300B fund), Benedict Chan who was VP Engineering at Chainlink and CTO at BitGo (NYSE:BTGO), and Heng Hong Lee who built Facebook Messenger in 2013 and was Director of Engineering at Fazz (YC S17).

Model gateway, compute, deployment, database, auth, and more. Every service built for AI coding agents to operate end to end through CLI and skills.

Inth makes privacy compliance live where the risk actually is: the codebase and runtime. Companies still rely on dashboards, questionnaires, and policy docs to prove compliance, but consent breaks in code, deletion breaks in code, and vendors, logs, AI systems, and agent-written changes all move user data in code. Inth sits in the repo, detects user-data privacy risk, maps it to files and owners, and generates the evidence regulators and enterprise buyers ask for. Its wedge is c15t, an open-source consent SDK with 2.6M npm downloads and adoption from teams like Zed, Infisical, and Expo. Inth is making every codebase compliant by default.

Sentry and Datadog dump a stream of alerts. Most are duplicates, most lack context, and you still have to solve the issue yourself. Superlog is AI-native observability that's meant not to be opened. A wizard scans your repo and installs proper OpenTelemetry instrumentation, then runs daily to keep up as you ship new code. When something breaks, Superlog groups the errors into a single incident, investigates with full context (logs, traces, recent deploys, past Slack threads), and posts one mergeable PR in Slack. You merge it, ignore it, or open it as a Claude Code session and modify it. Telemetry is vendor-neutral, so you keep every log, trace, and metric we install, even if you leave.

Interfaze is an AI model built on a new architecture that merges specialized DNN/CNN models with LLMs for developer tasks that require deterministic output and high consistency like OCR, web scraping, classification, Speech-to-text (STT) and more. Read paper:https://arxiv.org/abs/2602.04101

The AI-native observability platform for fast-moving engineering teams. Backed by tastemakers from the world's top AI companies: Vercel, Graphite, Daytona, Browserbase, LangChain, Mastra, Replit, and more.

Stage is a code review platform designed to help engineers better understand and review AI generated code. Engineering teams are shipping faster than ever with coding agents, but now they’re drowning in an endless backlog of PRs to review. Stage reorganizes the code review process around how engineers naturally read changes, enabling your team to review (and merge!) PRs 5x faster than GitHub.

Runtime (runtm.com) gives engineering teams control and visibility to enable anyone in their org to use coding agents securely. Eng leaders rolling out coding agents have no way to see what's happening, set boundaries, or safely let non-engineers use them. We provide sandboxed environments, session-level observability, and configurable guardrails so anyone on your team can ship with coding agents without breaking prod. We're live with fast-growing YC scaleups empowering their Engineers, PMs, designers, marketers, and ops to contribute to their codebase or build prod-grade zero-to-one apps.

TesterArmy is an AI agent that tests websites and mobile apps. It monitors production on a schedule and runs automatically on every GitHub Pull Request, delivering screenshots, recordings, and actionable bug reports. Describe tests in plain English. The agent handles login flows, OAuth, and OTPs, no scripts to write or maintain. We catch the regressions and UX issues that code review misses.

Manicule is an AI native devrel that owns developer documentation and technical content across social channels. We grew 100% MoM over the last three months to $58k in monthly revenue, and our customers include Supermemory, Greptile, Reducto, Mastra, Agentmail, and more. It is insanely hard to hire for devrel. Our customers tell us they’ve had roles up for months, paying $300K+ and still can’t find good people. The industry is currently split between SEO/GEO SaaS and agencies that only do videos or in-person devrel. Developer-focused companies also love the velocity AI brings but hate giving their readers AI slop. Naman has been writing content since he was 13 having worked with companies like Promptlayer, Brightdata, Courier.com and others. Shreyans has been building since 14, built an AI app that got onto App Store Productivity Trending in a month and worked as founding engineer at Supermemory. We met in high school and have built multiple startups together since.

Replicas is a background coding agent that allows you to delegate tasks to Claude Code or Codex from Slack, Linear, GitHub, and more. Each task works inside of a sandboxed virtual machine, allowing teams to heavily parallelize work and burn through tickets. Replicas agents output higher quality PRs via feedback loops - each task automatically is notified and fixes CI failures and reads all code reviews. With Environments, engineering teams can configure agents to run their entire codebase locally, verify its work, and provide preview URLs.

Building the communication infrastructure needed for fully autonomous agents

Glue is an open source design editor for AI agents. It gives coding agents an infinite canvas to create new interfaces, iterate on existing ones, and turn those changes into production-ready code all in real time. The rise of coding agents is collapsing EPD into one role: builders. This new paradigm means design and engineering can now converge to a single workflow. Builders no longer want static mockups in one tool, and implementation in another. Glue is a collaborative workspace where builders and agents can create new components, iterate on existing interfaces, and implement as code. The same tight feedback loop that once made Figma powerful for designers is now built for builders and their armies of agents. Being open source allows us to penetrate workflows at zero cost and build trust quickly. Right now there are no design tools with AI as the primary user. Existing tools bolt on copilots as an afterthought. Soon, every company will have AI agents building their interfaces. We are building the surface for this workflow.

We build environments to test your app and agents against the real world. Deploy your code/agent into a sandbox that runs against replicas of external services (Stripe, Slack, Google Drive, etc.). Twins support the same APIs, MCP tool calls & SDKs as the real software, and you can spin up thousands of instances in parallel and seed them using natural language. Run real workflows, surface edge cases, and observe how your code/agents actually behave before hitting production.

AI SRE agents that automatically learn each customer’s system so they work just like an in-house engineer.

Your agent processed a refund without looking up the order ID, costing you thousands. You only found out three hours later from a support ticket. Evals, output scoring, and observability can reduce the likelihood of mistakes like these occurring - but there's no solution that inspects and prevents an action as it’s about to execute. Salus does that. We’ve built an API that wraps around your agent and checks its actions at run time, blocking incorrect ones and providing immediate feedback to guide retries. Kevin and Vedant were roommates at Stanford, where they both studied computer science.

Corelayer is the AI-native platform for production software support, built for data-heavy, regulated industries like finance and healthcare. It continuously monitors alerts, logs, infrastructure, and underlying data for issues and uses agents to debug and suggest fixes. We're helping teams at companies ranging from growth-stage fintechs to S&P 500 financial institutions spend less time on support and more on high-leverage work.

A Coast (containerized host) is a local development runtime. Coasts let you run multiple isolated environments for the same project on one machine. As AI coding agents increasingly work in parallel across git worktrees, developers hit painful conflicts — clashing ports, duplicated databases, and fragile per-branch setup. Coasts solve this by giving each worktree its own fully isolated runtime, so multiple agents can build and test side by side without stepping on each other.

Inspector is the AI IDE for designers to ship to prod. Just select any element on your live front end, edit it like you would in Figma, and Inspector writes the changes straight to your codebase.

Lemma catches the silent, semantic failures your observability tools miss, where your AI agent looks like it worked but didn’t. We scan every trace to surface issues before users complain, identify root causes, and help you fix them without manual digging, so your agents improve over time.

Parse lets developers build APIs for any website. Unlike traditional scraping tools that rely on slow, expensive headless browsers, Parse examines websites' underlying network requests and generates API endpoints automatically. This makes Parse 10-100x faster and cheaper than browser automation,.

Moss is building the real-time semantic search runtime for conversational and multimodal AI. Our system enables voice agents, copilots, and chat interfaces to retrieve, reason, and respond in sub-10 ms, delivering the responsiveness that makes AI interactions feel truly natural. If you’ve ever built a conversational or voice AI product, you’ve felt the lag. That moment when an agent pauses and the illusion of intelligence breaks. The bottleneck is almost always retrieval. Each query hops across networks and databases, adding delay and cost. Moss eliminates that gap by keeping retrieval close to where the agent runs. Moss runs natively across browsers, mobile devices, and servers with an optimized vector index built in Rust and WebAssembly. It enables teams to build AI products that feel instant, contextual, and adaptive. The experiences that sustain engagement and unlock new kinds of interaction. For our customers, this translates into tangible business value: stronger user retention, higher conversion, and entirely new product categories made possible by real-time understanding. Moss is already powering production pilots across voice AI and developer platforms, achieving sub-10 ms retrieval and 70–90% token savings compared to traditional pipelines.

free codegen from brainrot workflows in your IDE.

Compyle is a less autonomous coding agent that asks before it acts. We're like Cursor or Claude Code - but you won't need to rewrite your codebase every time you use it for more than a small task. We built Compyle because we were frustrated with the direction other coding agents are headed. They're all racing to be more autonomous, running for hours without human input. This doesn't work for real production code. When agents run autonomously, they make countless small decisions that pile up in your codebase. Engineers lose ownership - they don't know what was implemented, can't effectively debug or maintain it, and struggle to build on top of it. The code becomes a black box, and they're forced to throw it away. Compyle keeps engineers in the driver's seat.

Fastshot is a no-code mobile development platform. Our mission is to "Democratize mobile app creation with AI" Anyone can develop a mobile app from idea to App Stores within minutes just by chatting with AI.

Understand user patterns and find silent failures in your AI agents. The Context Company helps teams analyze AI agent conversations to surface user behavior patterns, performance trends, and moments where agents struggle - so teams know what’s working, what’s not, and what to improve next. We turn raw conversations into structured signals: topic clustering, user feedback analysis, custom pattern tracking, and alerts. All alongside traditional observability like traces, tool calls, latency, and costs. Get started in less than 10 lines of code.

Sourcebot is an open source code understanding platform for massive codebases. We’re used by thousands of engineers in some of the largest companies in the world, including NVIDIA, Red Hat, Wikimedia, and Arista Networks. Understanding code, not writing it, is the primary bottleneck for large engineering teams. For developers, this means onboarding onto complex codebases faster. For AI agents, it means getting the necessary code context to minimize hallucinations and maximize cohesion within the wider codebase. Sourcebot solves this by giving developers and AI agents the ability to regex search across millions of lines of code instantly, as well as ask questions across thousands of repos using any flagship reasoning model. Being open source and on-prem, we can get deployed in enterprises within minutes before other tools even get approval. We met a decade ago at McGill University and have been building together full time for over 2 years. We’ve personally felt the pain of understanding large codebases while working at Microsoft, EA, Ubisoft, Google, and Meta.

We let developers deploy AI agents as API endpoints with built-in tools, sandboxes, and durable execution. Agents maintain state, run long-lived workflows, and handle retries automatically.

S2 is an API for durable streams. We make working with streaming data dead simple and reliable. The more we worked on data systems, the more we felt like there was a missing building block. The seamless experience of object storage simply did not exist for durable streams – so we set out to fix that! S2 reimagines streams as an unlimited and access-controlled web resource. Like if Kafka and S3 had a baby. - Building agents? Use granular streams to persist context in real time, make workflows auditable, and coordinate between agents. - Publishing fast-moving data? Streams support high fanout and can be accessed directly over the internet, so they are a great fit for broadcasting real-time feeds. - Sandboxing? Emit to per-instance streams, and read history or live events just as easily. - Local-first and multiplayer experiences? Propagate updates reliably and efficiently. Stop dealing with clusters, and start streaming.

Specific lets your coding agent write code and build the infrastructure to deploy it. Connect your favorite coding agent and start building immediately. Run `specific dev` to get a full local environment running in seconds. Run `specific deploy` to go to production on our scalable cloud platform in minutes.

The fastest persistent computer for agents. Host long-running, stateful agents that never sleep in <250ms.

Lark lets teams write end-to-end tests in plain English. Validate dashboards, APIs, SDKs, and full product flows without maintaining fragile test code. Run continuously on feature branches, in CI, or in production.

For our first product, we built Rao: an AI coding assistant into RStudio — an IDE used by up to 5 million data scientists and statisticians who use the R programming language to analyze data. Rao could read, write, and edit code while understanding the user's context (codebase and environmental variables).

Omnara brings Claude Code and Codex to your phone. Start a coding session on your desktop, then seamlessly hand off to mobile and keep building whether you're commuting, traveling, or away from your desk. Code in local or remote environments with full context preservation across devices. Plus, use voice to code hands-free by having natural conversations with Omnara to build, debug, and ship from anywhere.

Kernel is crazy fast, open source infra for AI agents to access the internet 🧠🕸️ - Built on unikernels for crazy fast cold starts and low resource usage - Sub-150ms cold starts on managed headful browsers - Built-in stealth mode with residential proxies and automatic CAPTCHA solving - Full observability: session recording, live view, and full logs - Persistent sessions that maintain cookies and auth across invocations - Native support for all browser and computer use frameworks - SOC 2 compliant and HIPAA-ready Trusted by Cash App, Rye, and 1000+ others. Backed by Accel & Y Combinator (S25).

VibeFlow generates full-stack web apps from prompts with n8n-style visual workflows for the backend. Users of tools like Lovable or v0 can easily iterate over frontends because they can see them, while backends remain closed black boxes that are hard to evolve through prompting. VibeFlow opens up backend logic, making it visual and editable, with powerful integrations built in.

Manufact provides open-source dev tools and infrastructure for MCP to help dev teams quickly build and deploy MCP Servers for AI agents & MCP Apps for ChatGPT and Claude. We developed the mcp-use SDK, which has over 7M downloads and 10,000 GitHub stars, and is used by 20% of the US 500. Create MCP servers/apps in minutes, connect your GitHub repo, and make them immediately available to AI agents and ChatGPT.