Coldtea AI
Coldtea builds an agentic development environment for the full software-development lifecycle. It combines coding agents, task management, real-device/web QA, pull-request regression testing, and production monitoring so teams can ship quickly without breaking production.
At a Glance
- Software engineering teams
- SaaS companies
- DevOps and QA teams
- Teams heavily using AI coding agents
- +1 more
AI Tools by Coldtea AI
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PR Lens
AI PR Diff Diagram Tool
Discussions
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Latest News
Published 'Reducing the cognitive load on AI-generated PRs,' introducing the PR Lens approach of animated architecture and data-flow diagrams on every pull request.
Published 'You are the worst possible judge of whether AI makes you faster,' a research essay on measuring AI-assisted developer productivity and the verification bottleneck.
PR Lens repository released v0.1.3.
Published 'What the 100 biggest GitHub repos put in their AGENTS.md files,' a study of agent instructions in major repositories.
Products & Services
A macOS desktop development environment combining a terminal, task management, editor, in-app browser, and agentic delivery workflows; Windows and Linux were on a waitlist.
A free agent-native terminal that runs Claude Code, Codex, Gemini CLI, OpenCode, and other agents in parallel with shared workspace context, task worktrees, MCP servers, and existing agent configuration.
Visual QA agents drive real web apps and mobile builds/simulators from plain-English flows, run regression tests on pull-request previews and production, and support release testing across web, iOS, and Android.
Monitoring agents watch production signals, investigate regressions in plain language, and can file repair pull requests.
Market Position
Coldtea positions itself as an agentic development environment for what comes after coding, rather than a coding-only assistant. Its differentiator is integrating local/multi-agent development with visual QA, pull-request regression testing, production observability, and repair workflows; the comparable alternatives identified by Product Hunt include Cursor, Claude Code, Codex, Google Antigravity, Kilo Code, and Warp.
Leadership
Founders
Ohans Emmanuel (Emmanuel Ohanekwu)
Co-founder and CEO; former Staff Software Engineer at HelloFresh (2023–2026), previously a Lead Frontend Engineer at Kudi (YC WA'17) and formerly associated with Revolut. He is also a technical author with more than five books and millions of readers.
Favour Ohanekwu
Co-founder; former Senior Software Engineer at SuperTokens (YC S20), with prior experience at Appsmith. He is also a software engineer and technical author/blogger.
Farhan Nazir
Co-founder and marketing/growth lead; founder and CEO of Burnwe, a video-marketing agency specializing in technology products.
Executive Team
Ohans Emmanuel (Emmanuel Ohanekwu)
Co-founder and CEO; Managing Director
Former Staff Software Engineer at HelloFresh and Lead Frontend Engineer at Kudi; technical author.
Favour Ohanekwu
Co-founder
Former Senior Software Engineer at SuperTokens and previously at Appsmith.
Founding Story
Ohans Emmanuel described the founding insight as a shift in the bottleneck of developer productivity: coding agents make writing code faster, but testing, regression detection, monitoring, and understanding system changes remain difficult. After experiencing tool-switching between agent orchestration, QA, and monitoring, the team spent five months developing a holistic agentic development environment for the entire lifecycle.
Business Model
Revenue Model
Freemium SaaS subscription model, with paid team/IDE plans and usage-based add-ons for agentic testing credits and production-monitoring/self-driving projects. Monitoring can use customers' existing provider keys without an additional charge for reading that data.
Pricing Tiers
Unlimited tasks, terminal, and coding agents; 2,000 agentic credits per month; two connected tools per project.
First seat free; shared boards and assignments; unlimited tools on self-driving projects.
10,000 credits per month, approximately 1,000 test runs.
Production monitoring and repair tier.
Expanded production monitoring and repair tier.
Target Markets
- Software engineering teams
- SaaS companies
- DevOps and QA teams
- Teams heavily using AI coding agents
- Web and mobile product organizations
- End-to-end software delivery by engineering teams
- AI-assisted coding with multiple agents
- Automated web and mobile regression testing
- Release testing against preview and production environments
- Production incident investigation and repair
- Maintaining a shared mental model of fast-changing, AI-generated codebases