Niteshift

Niteshift is a cloud platform that gives AI coding agents a complete running application stack — databases, services, auth, workers and seed data — instead of a bare sandbox, so an agent can actually test its own work. Engineering teams define the environment once, dispatch any frontier agent from Slack, Linear or GitHub, and receive pull requests with test runs, browser checks and logs attached as evidence.

Niteshift is a cloud platform that gives AI coding agents a complete, running application environment instead of a bare sandbox, so the agent can prove its work before a human reviews it. Teams define their stack once — databases, background workers, authentication, third-party services, seed data — and a setup agent infers the remainder from the repository, CI configuration and documentation. Any frontier coding agent then runs inside that environment: the platform is deliberately agent-agnostic, supporting Claude Code, Codex, OpenCode and Pi, so the environment stays constant when a team switches models or vendors. Tasks are dispatched from Slack, Linear, GitHub, the web app, a mobile client, a schedule or an external webhook; dozens of isolated environments run concurrently without local hardware constraints; and each agent returns a pull request with evidence attached — integration test results, browser-automation runs, logs and CI output — rather than an unverified diff. The founding thesis is that verification, not generation, is the bottleneck: agents can write sophisticated code but cannot confirm it works, so manual review cycles absorb the productivity gain. Founders Sajid Mehmood and Conor Branagan spent roughly a decade at Datadog building developer infrastructure, and price Niteshift like a cloud provider rather than a token reseller — 0.1 credits per minute of active agent time, with idle sandboxes unbilled and customers bringing their own Anthropic or OpenAI keys. Niteshift left its waitlist and reached general availability alongside a $7 million seed round led by Greylock on 10 June 2026, with Amplify Partners, BoxGroup and SV Angel participating. Standard Bots, Listen Labs and Elicit are named early customers.

Category

Developer Tools

Pricing

Freemium, Subscription, Usage-based

Target Market

CTOs, VP Engineering, Platform Engineering Leads, Enterprise Developers, Developer Productivity Teams

Deployment

Cloud-only

Headquarters

New York, United States

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  Full-stack agent environments

  Spins up databases, services, authentication, background workers and seed data so an agent runs against a real application rather than a bare container.

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  Automated environment detection

  A setup agent infers the stack from the repository, CI configuration and docs, removing most of the manual environment definition work.

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  Evidence-attached pull requests

  Every PR arrives with integration test results, browser-automation runs, logs and CI output, so reviewers check proof rather than re-running the task.

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  Agent-agnostic execution

  Claude Code, Codex, OpenCode and Pi all run against the same environment definition, so switching models does not mean rebuilding the setup.

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  Elastic parallel sandboxes

  Dozens of isolated environments run concurrently, so agent throughput is not capped by developer laptops or shared CI runners.

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  Workflow-native dispatch

  Tasks are launched from Slack, Linear, GitHub, web, mobile, a schedule or a webhook, so agents fit existing team process rather than a separate console.

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  MCP tool integration

  Custom internal tools can be exposed to agents over Model Context Protocol, letting agents use company-specific systems inside the sandbox.

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  Verified bug fixes from a ticket

  A Linear ticket dispatches an agent that reproduces the bug in a live environment, fixes it, and attaches the passing regression test to the PR.

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  Parallel dependency and framework migrations

  Dozens of agents run the same migration across services concurrently, each verifying its own service still boots and passes integration tests.

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  End-to-end simulation for hardware and robotics software

  Standard Bots cites Niteshift as the only platform able to spin up the services needed to simulate their robots end to end for agent tasks.

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  Reducing review load on agent-generated code

  Reviewers triage on attached evidence — tests, browser checks, logs — instead of pulling every branch locally to confirm the change actually works.

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  Scheduled maintenance work

  Recurring chores such as dependency bumps and flaky-test triage are dispatched on a schedule and land as verified PRs without a human starting them.

Priced like infrastructure rather than tokens: plans convert their monthly dollar amount into credits, and consumption is metered at 0.1 credits per minute of active agent time, with idle sandboxes explicitly not billed. Free is $0 with $10 of monthly credits and one seat, Individual $50/mo, Team $250/mo with unlimited seats and pay-as-you-go overage, and enterprise terms are custom. The important caveat is that model spend is not included — you bring your own Anthropic or OpenAI key or existing subscription — so the Niteshift line item is only part of the true cost per agent task.

This page was written from 5 sources, 2 on domains other than niteshift.dev.

1. 1.techcrunch.com — datadog veterans launch ai coding startup niteshift on a bet
2. 2.accessnewswire.com — niteshift raises 7 million seed round to power the cloud pla
3. 3.niteshift.dev — introducing niteshiftvendor
4. 4.niteshift.dev — pricingvendor
5. 5.niteshift.dev — niteshift.devvendor