AI visibility report
Warp ranks #7 in Autonomous Coding Agents AI search.
Outside the top three on 13 of the 25 prompts buyers actually ask.
Augment Code is cited on 5 of those losses.
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Start free trial#7 among 17 vendors · still absent from 98.4% of tracked prompt responses
Top-3 citations across 125 prompt × platform pairs
Peer Ranking
Key Metrics
Platform Breakdown
ChatGPT
Google AI Mode
Gemini Search
Bing Copilot
PerplexityHow to read this. Warp appears in 1.6% of tracked prompt responses and ranks #7 among 17 vendors. Presence is absolute coverage; share of voice is relative citation share; sentiment measures tone only when the brand appears.
Where Warp is losing
Prompts where competitors are visible and Warp is not.
These prompt-level losses are the first prompts to track and repair.
Where Warp is winning1
What AI coding agents support bring-your-own LLM provider so a platform team can route through an existing enterprise model contract?
Avg # 1.0 · 1 platform
Where Warp is losing5
Which AI coding agents handle context window limitations most gracefully when working across dozens of files in an enterprise codebase?
Competitors on 3 platforms
Track this promptWhat agentic coding tools handle long-running tasks reliably — resuming after an interruption rather than starting over from scratch?
Competitors on 2 platforms
Track this promptWhich cloud coding agents integrate with CI pipelines to automatically attempt fixes when a build or test suite fails?
Competitors on 1 platform
Track this promptWhat autonomous coding agents run tasks inside a secure sandbox so a compromised prompt can't affect the host filesystem?
Competitors on 1 platform
Track this promptWhich autonomous coding agents can reliably write and run tests, interpret failures, and self-correct without human intervention?
Competitors on 1 platform
Track this prompt
Track Warp daily before the next report refresh.
Track these gapsResearch dossierCapabilities, use cases, sources, reviews, pricing, and FAQ
Overview
Warp is an open-source agentic development environment (ADE) founded in 2020 and headquartered in New York City. Built in Rust with GPU rendering, it originated as a modern terminal replacement and has evolved into a full platform for coding with AI agents. Its three-product suite comprises the Warp Terminal (block-based, cross-platform CLI with IDE-like editing), the Warp Agent (a multi-model, orchestration-native coding agent), and the Oz cloud agent platform (for running agents locally or at scale in the cloud). Warp supports any AI agent harness—including Claude Code, OpenAI Codex, and Gemini CLI—with centralized governance, codebase indexing, and team collaboration via Warp Drive. It is SOC 2 certified with zero data retention across LLM providers, and reports more than 700,000 professional developers using it monthly. The client is licensed under AGPL v3.
Warp is an open-source agentic development environment born from the terminal. It pairs a modern, Rust-based, block-oriented terminal with the Oz cloud agent orchestration platform, enabling developers to run any AI coding agent—Warp's own or third-party harnesses like Claude Code and OpenAI Codex—locally or at scale in the cloud, with team governance, codebase indexing, and shared knowledge via Warp Drive.
Key Facts
- Founded
- 2020
- HQ
- New York, NY, USA
- Founders
- Zach Lloyd
- Employees
- 51-200
- Funding
- $73M
- Customers
- 700,000+ monthly active developers (self
- Status
- Private
Target users
Key Capabilities10
- Block-based terminal UX: each command and output is a discrete, navigable, shareable block
- Warp Agent: multi-model coding agent with multi-agent orchestration, codebase indexing, and granular permission controls
- Oz cloud agent platform: run agents locally or in the cloud with triggers (Slack, GitHub, Linear, webhooks), scheduling, and parallelism
- Third-party CLI agent support: native integration for Claude Code, OpenAI Codex, Gemini CLI, and OpenCode
- Warp Drive: shared command library, YAML workflows, notebooks, prompts, and environment variables for team collaboration
- Built-in code editor with LSP support, file tree, and interactive code review panel
- Multi-model inference routing: Anthropic, OpenAI, Google, Bedrock, LiteLLM, OpenRouter, or BYOK
- Open-source client (AGPL v3) built in Rust with GPU rendering for high performance
- SOC 2 certified with zero data retention policies across all contracted LLM providers
- Cross-platform: macOS, Linux (major distributions), and Windows
Key Use Cases8
- Agentic coding: running AI agents to write, refactor, and debug code in the terminal
- Automated code review: agent-driven first-pass PR review triggered on every pull request
- Bug investigation: reproducing production bugs and routing fixes via agent workflows
- Refactors and migrations: scoping, executing, and validating large codebase changes with agents
- Incident response: investigating alerts and summarizing next steps using cloud agents
- Team knowledge sharing: centralizing runbooks, commands, and workflows in Warp Drive
- CI/CD and scheduled automation: recurring dependency updates, dead code removal, and maintenance via Oz cloud agents
- Developer onboarding: reducing ramp time through shared, searchable workflow libraries
Warp customer outcomes
25% reduction in onboarding time
Docker's provisioning team adopted Warp Drive and Warp AI to centralize over 40 reusable workflows and eliminate fragmented documentation. New hire onboarding time dropped from four weeks to three weeks.
Recent Trend
How AI describes Warp1
...his in different ways: | Coding agent | BYO model/provider | Enterprise routing fit | Notes | | --- | --- | --- | --- | | Warp Enterprise | AWS Bedrock today | Excellent | Enterprise feature that routes agent inference through your own Bedrock accou...
What AI coding agents support bring-your-own LLM provider so a platform team can route through an existing enterprise model contract?
Most cited sources2
Alternatives in Autonomous Coding Agents6
Warp positions itself as the 'Agentic Development Environment' (ADE) — a terminal-first platform that orchestrates any AI coding agent (Warp Agent, Claude Code, OpenAI Codex, Gemini CLI) locally or in the cloud via its Oz orchestration platform.
- Unlike IDE-centric competitors such as Cursor, Warp competes at the terminal/CLI layer, arguing that the terminal is the natural control plane for agentic workflows spanning code generation, deployment, debugging, and incident response.
- Its model-agnostic, multi-harness architecture and open-source client (AGPL v3) distinguish it from vertically integrated agents, while enterprise features (SOC 2, self-hosted agents, BYOL, zero data retention) target security-sensitive organizations in financial services, insurance, and telecommunications.
- AAugment Code#19
- AAnthropic (Claude Code)#23
- Block (Goose)#33
- OpenAI (Codex CLI / Codex)#43
- CCursor (Anysphere)#62
- Factory (Droid)#52
Reviews
Praised
- Block-based output model for navigating and sharing command results
- AI command suggestions and natural language command search
- Warp Drive for centralizing team workflows and runbooks
- Native support for Claude Code, Codex, and Gemini CLI agents
- Rust-built performance and GPU rendering
- Modern IDE-like editor input with multi-line editing and cursor movement
- Cross-platform availability (macOS, Linux, Windows)
- Active development cadence and community-responsive changelog
Criticized
- Mandatory account sign-in and internet connection requirement
- Higher memory footprint than lightweight terminals (Alacritty, iTerm2)
- Limited deep customization compared to power-user terminal setups
- Credit limits run out quickly for heavy agentic use
- TUI and interactive CLI applications render inconsistently in block model
- Pricing changes in 2025–2026 eroded early-adopter trust
- Cloud agent features unavailable for fully offline/air-gapped environments
- Slow initial load time noted by some reviewers
Warp holds a 4.3/5 rating on G2 (12 reviews as of mid-2026) and 4.8/5 on Product Hunt (76 reviews). Reviewers consistently praise the block-based output model, AI command suggestions, Warp Drive for team collaboration, and Rust-powered performance. The integration with third-party CLI agents (Claude Code, Codex) is cited as a standout strength for agentic workflows. Common criticisms include the mandatory account sign-in, higher memory usage compared to lightweight terminals, limited deep customization for power users, and credit constraints for heavy agentic use. Some reviewers flag TUI application rendering issues and past pricing volatility.
Pricing
Warp offers five tiers. Free ($0/month): core terminal features, bring-your-own inference, limited cloud agents and Warp Drive. Build ($20/month, $18/month annually): 1,500 credits/month for local and cloud agents, full Warp Agent access with frontier Anthropic/OpenAI/Google models, unlimited Warp Drive, highest codebase indexing limits. Max ($200/month, $180/month annually): 12× Build credits with the same feature set. Business ($50/user/month, $45 annually, up to 25 seats): adds team usage metrics, admin-configurable data controls, and SAML SSO. Enterprise (custom): unlimited seats, custom credit pools, self-hosted cloud agents, bring your own LLM, enterprise analytics API, cross-harness agent memory (Research Preview), and dedicated support. Credits can be reloaded at volume-based discounts across paid tiers.
Limitations
- Warp requires an internet connection and account sign-in, which is a barrier for offline or air-gapped environments and privacy-sensitive organizations.
- Memory footprint is approximately 2–3x higher than lightweight terminals like Alacritty or iTerm2.
- Deep terminal customization (themes, config) lags behind power-user setups in iTerm2 or Alacritty.
- Some TUI applications and interactive CLI tools (e.g., htop, certain Docker sessions) do not render correctly within Warp's block-based model.
- Credit limits on lower-tier plans constrain heavy agentic usage, pushing users toward Reload Credits or BYOK.
- Advanced cloud agent features require Warp's cloud infrastructure, limiting use in fully on-premises environments (addressed only at Enterprise tier).
- Pricing changes in 2025–2026 generated community friction on Hacker News.
- Jupyter notebook rendering is not supported, limiting appeal for data science workflows.
Frequently asked questions
Topic coverageCoverage by buyer topic
Topic Coverage
Prompt-Level Results
| Prompt | Gemini Search | ChatGPT | Bing Copilot | Perplexity | Google AI Mode |
|---|---|---|---|---|---|
Capability0/5 cited (0%) | |||||
What AI coding agents handle multi-repo tasks well — making coordinated changes across a frontend and backend repo in a single session? | |||||
Which autonomous coding agents can reliably write and run tests, interpret failures, and self-correct without human intervention? | |||||
I'm looking for an agentic CLI that supports tool use like web search and shell execution during a coding task — what are my options? | |||||
What autonomous coding tools handle legacy codebases in dynamically typed languages best — Python 2 or older PHP specifically? | |||||
Which cloud coding agents are best for generating and merging pull requests asynchronously without a developer staying in the loop? | |||||
Developer Experience0/5 cited (0%) | |||||
Which autonomous coding agents give the best real-time feedback loop when running multi-step tasks so developers stay in control? | |||||
Which agentic IDEs have the smoothest experience for reviewing and approving AI-generated changes before they touch the main branch? | |||||
What AI coding agents do senior engineers prefer for refactoring large codebases without babysitting every intermediate step? | |||||
Which AI coding agents handle context window limitations most gracefully when working across dozens of files in an enterprise codebase? | |||||
What autonomous coding tools are best suited for a solo developer who wants to delegate routine feature work and focus on architecture? | |||||
Integrations & Ecosystem2/5 cited (40%) | |||||
Which cloud coding agents integrate with CI pipelines to automatically attempt fixes when a build or test suite fails? | |||||
Which autonomous coding agents integrate natively with popular code editors so devs can trigger agent tasks without leaving their IDE? | |||||
What AI coding agents support bring-your-own LLM provider so a platform team can route through an existing enterprise model contract? | |||||
Which agentic coding platforms integrate with project management tools so engineers can assign tickets directly to an AI agent to action? | |||||
What autonomous coding tools have the best ecosystem of community plugins for extending agent capabilities with custom tools and workflows? | |||||
Performance & Reliability0/5 cited (0%) | |||||
What autonomous coding agents run tasks inside a secure sandbox so a compromised prompt can't affect the host filesystem? | |||||
Which autonomous coding agents are most cost-efficient for high-volume use — minimising frontier LLM provider token spend per merged PR? | |||||
Which cloud coding agents have the best uptime and task success rates for a mid-size team running dozens of concurrent agent jobs daily? | |||||
Which AI coding agents complete multi-file tasks fastest without sacrificing correctness — benchmarks or real-world comparisons? | |||||
What agentic coding tools handle long-running tasks reliably — resuming after an interruption rather than starting over from scratch? | |||||
Setup & First Run0/5 cited (0%) | |||||
What are the best agentic IDEs for a team migrating from a traditional code editor that want AI-assisted multi-file editing from day one? | |||||
Which agentic CLI tools work out of the box on popular operating systems without requiring a container sandbox just to get started? | |||||
Which cloud coding agents can be connected to an existing private repo and start opening pull requests with minimal setup? | |||||
What's the easiest AI coding agent to get running locally on a large existing TypeScript monorepo without hours of configuration? | |||||
I'm evaluating autonomous coding agents for a 10-person startup — which ones can a new engineer get productive with in under an hour? | |||||
Turn this matrix into daily prompt monitoring.
Track prompt changesVertical Ranking
| # | Brand | PresencePres. | Share of VoiceSoV | DocsDocs | BlogBlog | MentionsMent. | Avg PosPos | Sentiment |
|---|---|---|---|---|---|---|---|---|
| 1 | Augment Code | 8.8% | 32.7% | 0.0% | 0.0% | 8.0% | #7.2 | +0.21 |
| 2 | Anthropic (Claude Code) | 3.2% | 12.7% | 0.0% | 0.0% | 3.2% | #3.9 | +0.35 |
| 3 | Block (Goose) | 3.2% | 12.7% | 0.0% | 0.0% | 3.2% | #4.9 | +0.54 |
| 4 | OpenAI (Codex CLI / Codex) | 3.2% | 10.9% | 0.8% | 0.0% | 2.4% | #7.7 | +0.25 |
| 5 | Factory (Droid) | 2.4% | 10.9% | 0.0% | 0.0% | 1.6% | #4.7 | +0.60 |
| 6 | Cursor (Anysphere) | 2.4% | 5.5% | 0.8% | 0.8% | 2.4% | #16.7 | +0.27 |
| 7 | Warp | 1.6% | 3.6% | 1.6% | 0.0% | 1.6% | #4.0 | +0.30 |
| 8 | All Hands AI (OpenHands) | 0.8% | 5.5% | 0.0% | 0.0% | 0.8% | #2.0 | +0.70 |
| 9 | OpenCode | 0.8% | 1.8% | 0.0% | 0.0% | 0.8% | #2.0 | +0.60 |
| 10 | Cognition (Devin) | 0.8% | 1.8% | 0.8% | 0.0% | 0.8% | #3.0 | +0.80 |
| 11 | Aider AI | 0.8% | 1.8% | 0.0% | 0.0% | 0.8% | #27.0 | +0.00 |
| 12 | Amp | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | — | — |
| 13 | Cline Bot Inc. | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | — | — |
| 14 | Lovable | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | — | — |
| 15 | Replit (Agent 3) | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | — | — |
| 16 | Roo Code (Roomote) | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | — | — |
| 17 | StackBlitz (Bolt.new) | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | — | — |
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