# Cognition (Devin) AI visibility in Autonomous Coding Agents

Canonical: https://devtune.ai/verticals/autonomous-coding-agents/cognition-devin

[Website](https://devin.ai/)

Updated: 2026-09-27T01:01:28.489644+00:00
Prompts: 25
Runs: 5


## Platforms

- chatgpt-search
- bing-copilot-search
- google-ai
- perplexity
- google-ai-mode

Rank: 5
Total brands: 17
Measured responses: 125
Presence percent: 5.6000000000000005
Share of voice percent: 7.4074074074074066
Average position: 3.25
Docs presence percent: 4.8
Blog presence percent: 0
Brand mention percent: 45.6


## Profile

Overview: Cognition is a San Francisco-based AI company that develops Devin, marketed as the world's first autonomous AI software engineer. Founded in August 2023 by competitive programmers Scott Wu, Steven Hao, and Walden Yan, Devin operates as a cloud agent inside isolated virtual machines equipped with a shell, code editor, and browser. Unlike inline coding copilots, Devin executes entire software engineering tasks end-to-end—from interactive planning to pull request submission—and can spawn multiple parallel agent instances for large-scale projects. Core use cases include code migration and modernization, security remediation, test generation, and PR review. Enterprise customers include Goldman Sachs, Citi, Mercedes-Benz, Nubank, and the U.S. Army. In July 2025, Cognition acquired Windsurf to add an AI-native IDE to its product suite. Having raised approximately $1.7 billion across all rounds, the company reached a $26 billion post-money valuation in May 2026.
Product summary: Devin is Cognition's flagship autonomous AI software engineering agent. It runs inside isolated cloud VMs with full tool access (terminal, browser, VSCode-style editor) and handles entire development tasks end-to-end—accepting natural language tickets from Slack, Linear, or Jira and delivering reviewed, merged pull requests. The product suite includes Devin Cloud (async cloud agent), Devin Desktop (AI-native IDE, rebranded from Windsurf), Devin CLI, Devin Review (AI PR review), and Devin Windows VM. Cognition also trains its own SWE-series models (SWE-1.5, SWE-1.6) optimized for software engineering tasks and served at up to 950 tokens/second via Cerebras.


### Key capabilities

- Autonomous end-to-end task execution in isolated cloud VMs (shell, browser, code editor)
- Parallel multi-agent spawning for large-scale migrations and concurrent workstreams
- Interactive task planning with human review before execution
- GitHub/GitLab PR creation, review, and iterative CI feedback loop
- Devin Review: AI-powered PR review with intelligent diff organization and bug detection
- Codebase indexing, natural-language search (Devin Search), and auto-generated wiki
- Fine-tuning on customer codebases for domain-specific task improvement
- Scheduled and recurring autonomous sessions with persistent state
- Windows VM and Android emulator support for native platform development
- MCP marketplace for extensible third-party tool integrations



### Target users

- Enterprise engineering teams managing large or legacy codebases
- Senior engineers delegating repetitive, well-scoped subtasks to autonomous agents
- Platform and DevOps teams automating CI/CD and security remediation workflows
- Systems integrators and consulting firms scaling software delivery capacity
- Government and regulated-industry organizations requiring auditable AI code changes
- Engineering leaders seeking to accelerate large-scale modernization programs



### Key use cases

- Large-scale code migrations (COBOL, .NET Framework, legacy ETL, Angular-to-React)
- Automated security vulnerability remediation (SonarQube, Veracode findings)
- Test coverage generation across large multi-repo codebases
- Automated PR review and visual QA with bug flagging
- Bug triage and incident response via Datadog/Sentry/Slack integration
- Documentation generation and architecture diagrams for legacy systems
- Scheduled CI maintenance, dependency upgrades, and release notes
- Ticket-to-PR automation from Linear or Jira backlog

Integrations ecosystem: Devin integrates natively with GitHub, GitLab, Bitbucket, and custom Git providers for PR workflows; Slack and Microsoft Teams for conversational task assignment; Linear, Jira, and Asana for ticket-to-PR automation; Datadog and Sentry for incident triage; Confluence, Notion, and Google Drive for documentation; and cloud platforms including AWS, Azure, Snowflake, Databricks, MongoDB, and PostgreSQL. An MCP (Model Context Protocol) marketplace allows connection to additional third-party servers. Devin supports all major model providers (OpenAI, Anthropic Claude, Google Gemini) and its own SWE-series models. The Devin API enables integration into existing CI/CD pipelines.
Pricing summary: Devin offers five tiers as of June 2026. Free ($0): limited agent quota, restricted models, unlimited inline edits and Tab completions. Pro ($20/month): increased quotas, full model access (OpenAI, Claude, Gemini, SWE-1.6), Devin Cloud access, extra usage at API pricing. Max ($200/month): significantly higher quotas than Pro. Teams ($80/month base + $40/month per full developer seat): unlimited members, shared collaboration, admin dashboard, priority support. Enterprise (custom): adds VPC deployment, SAML/OIDC SSO, dedicated account team, and centralized enterprise admin controls. Usage is consumption-based via Agent Compute Units (ACUs); one ACU represents approximately 15 minutes of active autonomous work and was previously priced at $2.25/ACU on legacy plans.
Review summary: User sentiment is mixed and heavily context-dependent. Enterprise teams running well-scoped migration and remediation tasks report significant productivity gains—Nubank achieved 8–12x efficiency improvement and 20x cost savings on an ETL migration; a large bank saw 10x speed improvement on file migrations vs. human engineers. Individual developers find Devin strong for automation, web scraping, and repetitive bug fixes, but report inconsistent results on complex or ambiguous projects, with some independent tests recording ~15% task completion on hard problems. Recurring criticisms include opaque ACU billing that can far exceed the base plan cost, silent task failures without clear explanations, and the need for very precise prompting. A third-party site citing Trustpilot reported a 3.0/5 score as of March 2026, though the sample is extremely small.
Competitive positioning: Devin positions itself as the world's first fully autonomous AI software engineer—an async cloud agent that owns tasks end-to-end (planning through merged PR) rather than an inline copilot. Its differentiation rests on cloud-sandboxed parallel agent spawning, codebase fine-tuning, and deep integration into enterprise workflows (Slack, Linear, Jira) rather than IDE-embedded autocomplete. Following the July 2025 acquisition of Windsurf, Cognition now offers both the autonomous cloud agent (Devin) and an AI-native IDE (Devin Desktop), positioning the company as the only vendor with a complete 'agent + IDE' product suite at scale. Enterprise targeting—large migrations, legacy modernization, security remediation—further separates Devin from consumer-focused coding tools.
Limitations: Independent real-world tests report task completion rates as low as 15% on complex, ambiguous engineering problems. Devin struggles with open-ended architectural decisions, novel problem domains, undocumented internal APIs, and tasks where requirements evolve mid-execution. ACU-based billing can be opaque and unpredictable for complex tasks, with actual costs potentially exceeding the base plan price significantly. Effective use requires precise, well-scoped task definitions and mandatory human review of all outputs before merging. Parallel agent coordination above ~5 concurrent agents can introduce complexity. The product does not replace senior engineering judgment and performs best at the junior-to-mid engineer tier for well-defined, verifiable tasks.


### Source urls

- https://devin.ai/
- https://devin.ai/pricing
- https://cognition.com/blog
- https://cognition.com/blog/series-d
- https://cognition.com/blog/funding-growth-and-the-next-frontier-of-ai-coding-agents
- https://cognition.com/blog/devin-annual-performance-review-2025
- https://techcrunch.com/2026/05/27/ai-coding-startup-cognition-raises-1b-at-25b-pre-money-valuation/
- https://en.wikipedia.org/wiki/Cognition_AI
- https://sacra.com/c/cognition/
- https://www.gartner.com/reviews/product/devin-ai-568760006
- https://www.forbes.com/sites/rashishrivastava/2024/12/02/cognition-scott-wu-devin-ai/
- https://venturebeat.com/programming-development/devin-2-0-is-here-cognition-slashes-price-of-ai-software-engineer-to-20-per-month-from-500

Reviewed at: 2026-06-30T15:20:09.028+00:00


### Customer outcomes

| Customer | Summary | Metric |
| --- | --- | --- |
| Nubank | Deployed a fleet of Devin agents to migrate a multi-million-line monolithic ETL to sub-modules, replacing what had been planned as an 18-month, 1,000-engineer effort. Cognition reports the project was completed in weeks across multiple business units. | 8–12x engineering time efficiency gain; >20x cost savings on migrated scope |
| Mercedes-Benz | Partnered with Cognition to deploy Devin for legacy modernization across its global engineering organization. A project previously estimated at eight months was completed in eight days. | 8-month project completed in 8 days |
| Itaú | Latin America's largest bank deployed Devin for automated security vulnerability remediation across its codebase, achieving a high rate of autonomous fixes without human intervention. | 70% of security vulnerabilities fixed automatically |
| Unnamed large bank (Cognition blog) | Used Devin to migrate hundreds of thousands of proprietary ETL framework files as part of a Java version modernization, with Devin completing each file migration significantly faster than human engineers. | 3–4 hours per file migration vs. 30–40 hours for human engineers (10x improvement) |
| Eight Sleep | Deployed Devin as an on-demand data analyst to handle the flood of ad hoc analytics requests, replacing multi-day turnaround times with near-instant answers via a trained autonomous agent. | Not available |



### Reviews breakdown





### Review themes



#### Praised

- End-to-end task execution from ticket to merged PR
- Parallel agent spawning for large migrations and batch tasks
- Deep Slack/Linear/Jira workflow integration
- Persistent codebase context and session memory
- Highly effective for repetitive tasks (migrations, security fixes, test generation)
- Interactive planning phase aligns execution before compute is spent
- Self-debugging and automatic CI failure recovery
- Non-technical team members can ship code with guidance



#### Criticized

- Opaque ACU billing; complex tasks can far exceed base plan cost
- Low success rate on complex or ambiguous open-ended tasks
- Requires very precise instructions; vague prompts frequently fail
- Lack of transparency in decision-making and failure explanations
- Silent task failures without surfacing uncertainty to user
- Not suited for open-ended architectural design or senior-level judgment
- Early-version reputation for promising more than it delivered




### Company facts

Founded year: 2023
Hq: San Francisco, CA, USA


#### Founders

- Scott Wu
- Steven Hao
- Walden Yan

Employees range: Not available
Total funding: ~$1.7B
Valuation: $26B
Arr: ~$492M
Customer count: Not available
Status: Private


Readiness: Not available


## Ranking

| Display name | Pair count | Total pairs | Presence percent | Avg position |
| --- | --- | --- | --- | --- |
| OpenAI (Codex CLI / Codex) | 21 | 125 | 16.8 | 3.5 |
| Cursor (Anysphere) | 16 | 125 | 12.8 | 3.272727272727273 |
| Anthropic (Claude Code) | 11 | 125 | 8.799999999999999 | 2.8181818181818183 |
| Augment Code | 9 | 125 | 7.199999999999999 | 5.833333333333333 |
| Cognition (Devin) | 7 | 125 | 5.6000000000000005 | 3.25 |
| All Hands AI (OpenHands) | 5 | 125 | 4 | 1.8571428571428572 |
| Aider AI | 5 | 125 | 4 | 2.4285714285714284 |
| Warp | 5 | 125 | 4 | 4.2 |
| Cline Bot Inc. | 4 | 125 | 3.2 | 3 |
| OpenCode | 2 | 125 | 1.6 | 4.666666666666667 |
| Amp | 1 | 125 | 0.8 | 1 |
| Block (Goose) | 1 | 125 | 0.8 | 3 |
| Factory (Droid) | 1 | 125 | 0.8 | 4 |
| Lovable | 0 | 125 | 0 | Not available |
| Replit (Agent 3) | 0 | 125 | 0 | Not available |
| Roo Code (Roomote) | 0 | 125 | 0 | Not available |
| StackBlitz (Bolt.new) | 0 | 125 | 0 | Not available |



## Platform breakdown

| Platform | Prompt count | Presence rate |
| --- | --- | --- |
| chatgpt-search | 4 | 16 |
| bing-copilot-search | 0 | 0 |
| google-ai | 0 | 0 |
| perplexity | 1 | 4 |
| google-ai-mode | 2 | 8 |



## Strengths

| Prompt text | Platform count | Avg position |
| --- | --- | --- |
| What autonomous coding tools are best suited for a solo developer who wants to delegate routine feature work and focus on architecture? | 1 | 1 |
| Which autonomous coding agents can reliably write and run tests, interpret failures, and self-correct without human intervention? | 1 | 2 |
| Which cloud coding agents integrate with CI pipelines to automatically attempt fixes when a build or test suite fails? | 1 | 2 |



## Gaps

| Prompt text | Competitor presence count |
| --- | --- |
| What AI coding agents support bring-your-own LLM provider so a platform team can route through an existing enterprise model contract? | 5 |
| Which AI coding agents handle context window limitations most gracefully when working across dozens of files in an enterprise codebase? | 3 |
| What autonomous coding agents run tasks inside a secure sandbox so a compromised prompt can't affect the host filesystem? | 3 |
| What agentic coding tools handle long-running tasks reliably — resuming after an interruption rather than starting over from scratch? | 2 |
| 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? | 2 |



## Topic scores

| Topic name | Prompt count | Cited prompt count |
| --- | --- | --- |
| Capability | 5 | 2 |
| Developer Experience | 5 | 1 |
| Integrations & Ecosystem | 5 | 2 |
| Performance & Reliability | 5 | 1 |
| Setup & First Run | 5 | 1 |



## Prompt results

- Prompt text: What agentic coding tools handle long-running tasks reliably — resuming after an interruption rather than starting over from scratch?


#### Brand position by platform

Chatgpt-search: Not available
Bing-copilot-search: Not available
Google-ai: Not available
Perplexity: Not available
Google-ai-mode: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Amp | 1 |
| OpenAI (Codex CLI / Codex) | 2 |
| Anthropic (Claude Code) | 3 |



##### Bing-copilot-search





##### Google-ai





##### Perplexity





##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Aider AI | 2 |


- Prompt text: Which AI coding agents handle context window limitations most gracefully when working across dozens of files in an enterprise codebase?


#### Brand position by platform

Chatgpt-search: Not available
Bing-copilot-search: Not available
Google-ai: Not available
Perplexity: Not available
Google-ai-mode: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Cursor (Anysphere) | 3 |
| Augment Code | 4 |
| OpenAI (Codex CLI / Codex) | 6 |



##### Bing-copilot-search





##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| Aider AI | 2 |
| Augment Code | 9 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Block (Goose) | 3 |


- Prompt text: What autonomous coding tools handle legacy codebases in dynamically typed languages best — Python 2 or older PHP specifically?


#### Brand position by platform

Chatgpt-search: Not available
Bing-copilot-search: Not available
Google-ai: Not available
Perplexity: Not available
Google-ai-mode: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| OpenAI (Codex CLI / Codex) | 1 |



##### Bing-copilot-search





##### Google-ai





##### Perplexity





##### Google-ai-mode




- Prompt text: What AI coding agents support bring-your-own LLM provider so a platform team can route through an existing enterprise model contract?


#### Brand position by platform

Chatgpt-search: Not available
Bing-copilot-search: Not available
Google-ai: Not available
Perplexity: Not available
Google-ai-mode: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Cline Bot Inc. | 1 |



##### Bing-copilot-search

| Display name | Position |
| --- | --- |
| Augment Code | 1 |



##### Google-ai

| Display name | Position |
| --- | --- |
| Warp | 2 |



##### Perplexity

| Display name | Position |
| --- | --- |
| All Hands AI (OpenHands) | 1 |
| Warp | 5 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Cursor (Anysphere) | 3 |


- Prompt text: 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?


#### Brand position by platform

Chatgpt-search: Not available
Bing-copilot-search: Not available
Google-ai: Not available
Perplexity: Not available
Google-ai-mode: Not available



#### Platform rows



##### Chatgpt-search





##### Bing-copilot-search





##### Google-ai





##### Perplexity





##### Google-ai-mode




- Prompt text: Which cloud coding agents have the best uptime and task success rates for a mid-size team running dozens of concurrent agent jobs daily?


#### Brand position by platform

Chatgpt-search: 11
Bing-copilot-search: Not available
Google-ai: Not available
Perplexity: Not available
Google-ai-mode: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| OpenAI (Codex CLI / Codex) | 5 |
| Anthropic (Claude Code) | 6 |
| Cursor (Anysphere) | 8 |
| Cognition (Devin) | 11 |



##### Bing-copilot-search





##### Google-ai





##### Perplexity





##### Google-ai-mode




- Prompt text: I'm evaluating autonomous coding agents for a 10-person startup — which ones can a new engineer get productive with in under an hour?


#### Brand position by platform

Chatgpt-search: Not available
Bing-copilot-search: Not available
Google-ai: Not available
Perplexity: Not available
Google-ai-mode: 3



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Cursor (Anysphere) | 1 |
| Anthropic (Claude Code) | 3 |
| OpenAI (Codex CLI / Codex) | 4 |



##### Bing-copilot-search





##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| OpenCode | 3 |
| OpenAI (Codex CLI / Codex) | 4 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Cognition (Devin) | 3 |


- Prompt text: 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?


#### Brand position by platform

Chatgpt-search: Not available
Bing-copilot-search: Not available
Google-ai: Not available
Perplexity: Not available
Google-ai-mode: Not available



#### Platform rows



##### Chatgpt-search





##### Bing-copilot-search





##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| Cursor (Anysphere) | 1 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Cursor (Anysphere) | 3 |


- Prompt text: Which autonomous coding agents give the best real-time feedback loop when running multi-step tasks so developers stay in control?


#### Brand position by platform

Chatgpt-search: Not available
Bing-copilot-search: Not available
Google-ai: Not available
Perplexity: Not available
Google-ai-mode: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Cursor (Anysphere) | 1 |
| OpenAI (Codex CLI / Codex) | 3 |
| Anthropic (Claude Code) | 4 |



##### Bing-copilot-search





##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| Cursor (Anysphere) | 2 |
| Cline Bot Inc. | 4 |
| OpenAI (Codex CLI / Codex) | 5 |



##### Google-ai-mode




- Prompt text: Which autonomous coding agents can reliably write and run tests, interpret failures, and self-correct without human intervention?


#### Brand position by platform

Chatgpt-search: 2
Bing-copilot-search: Not available
Google-ai: Not available
Perplexity: Not available
Google-ai-mode: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| OpenAI (Codex CLI / Codex) | 1 |
| Cognition (Devin) | 2 |
| Anthropic (Claude Code) | 3 |



##### Bing-copilot-search

| Display name | Position |
| --- | --- |
| All Hands AI (OpenHands) | 2 |



##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| OpenAI (Codex CLI / Codex) | 4 |
| Cline Bot Inc. | 6 |



##### Google-ai-mode




- Prompt text: What AI coding agents handle multi-repo tasks well — making coordinated changes across a frontend and backend repo in a single session?


#### Brand position by platform

Chatgpt-search: Not available
Bing-copilot-search: Not available
Google-ai: Not available
Perplexity: Not available
Google-ai-mode: Not available



#### Platform rows



##### Chatgpt-search





##### Bing-copilot-search





##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| Cursor (Anysphere) | 1 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Augment Code | 3 |


- Prompt text: Which agentic IDEs have the smoothest experience for reviewing and approving AI-generated changes before they touch the main branch?


#### Brand position by platform

Chatgpt-search: Not available
Bing-copilot-search: Not available
Google-ai: Not available
Perplexity: Not available
Google-ai-mode: Not available



#### Platform rows



##### Chatgpt-search





##### Bing-copilot-search





##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| Cursor (Anysphere) | 3 |
| Warp | 4 |



##### Google-ai-mode




- Prompt text: Which agentic CLI tools work out of the box on popular operating systems without requiring a container sandbox just to get started?


#### Brand position by platform

Chatgpt-search: Not available
Bing-copilot-search: Not available
Google-ai: Not available
Perplexity: Not available
Google-ai-mode: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| OpenAI (Codex CLI / Codex) | 1 |
| Anthropic (Claude Code) | 2 |



##### Bing-copilot-search





##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| OpenAI (Codex CLI / Codex) | 7 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Aider AI | 2 |


- Prompt text: What AI coding agents do senior engineers prefer for refactoring large codebases without babysitting every intermediate step?


#### Brand position by platform

Chatgpt-search: Not available
Bing-copilot-search: Not available
Google-ai: Not available
Perplexity: Not available
Google-ai-mode: Not available



#### Platform rows



##### Chatgpt-search





##### Bing-copilot-search





##### Google-ai

| Display name | Position |
| --- | --- |
| Augment Code | 5 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Anthropic (Claude Code) | 1 |



##### Google-ai-mode




- Prompt text: Which cloud coding agents are best for generating and merging pull requests asynchronously without a developer staying in the loop?


#### Brand position by platform

Chatgpt-search: 2
Bing-copilot-search: Not available
Google-ai: Not available
Perplexity: Not available
Google-ai-mode: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| OpenAI (Codex CLI / Codex) | 1 |
| Cognition (Devin) | 2 |
| Factory (Droid) | 4 |
| Cursor (Anysphere) | 5 |



##### Bing-copilot-search





##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| Cursor (Anysphere) | 8 |
| Augment Code | 10 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Augment Code | 2 |


- Prompt text: What's the easiest AI coding agent to get running locally on a large existing TypeScript monorepo without hours of configuration?


#### Brand position by platform

Chatgpt-search: Not available
Bing-copilot-search: Not available
Google-ai: Not available
Perplexity: Not available
Google-ai-mode: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Anthropic (Claude Code) | 1 |
| OpenAI (Codex CLI / Codex) | 3 |



##### Bing-copilot-search





##### Google-ai





##### Perplexity





##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Cursor (Anysphere) | 3 |


- Prompt text: Which autonomous coding agents are most cost-efficient for high-volume use — minimising frontier LLM provider token spend per merged PR?


#### Brand position by platform

Chatgpt-search: Not available
Bing-copilot-search: Not available
Google-ai: Not available
Perplexity: Not available
Google-ai-mode: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Anthropic (Claude Code) | 5 |
| OpenAI (Codex CLI / Codex) | 6 |
| Warp | 7 |



##### Bing-copilot-search





##### Google-ai





##### Perplexity





##### Google-ai-mode




- Prompt text: What autonomous coding agents run tasks inside a secure sandbox so a compromised prompt can't affect the host filesystem?


#### Brand position by platform

Chatgpt-search: Not available
Bing-copilot-search: Not available
Google-ai: Not available
Perplexity: Not available
Google-ai-mode: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| OpenAI (Codex CLI / Codex) | 1 |
| Anthropic (Claude Code) | 2 |



##### Bing-copilot-search

| Display name | Position |
| --- | --- |
| Anthropic (Claude Code) | 1 |
| Augment Code | 5 |



##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| OpenAI (Codex CLI / Codex) | 1 |



##### Google-ai-mode




- Prompt text: What autonomous coding tools are best suited for a solo developer who wants to delegate routine feature work and focus on architecture?


#### Brand position by platform

Chatgpt-search: Not available
Bing-copilot-search: Not available
Google-ai: Not available
Perplexity: 1
Google-ai-mode: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| OpenAI (Codex CLI / Codex) | 1 |
| Cursor (Anysphere) | 2 |



##### Bing-copilot-search





##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| Cognition (Devin) | 1 |
| Cursor (Anysphere) | 5 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| All Hands AI (OpenHands) | 1 |


- Prompt text: What autonomous coding tools have the best ecosystem of community plugins for extending agent capabilities with custom tools and workflows?


#### Brand position by platform

Chatgpt-search: Not available
Bing-copilot-search: Not available
Google-ai: Not available
Perplexity: Not available
Google-ai-mode: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Cursor (Anysphere) | 2 |
| OpenAI (Codex CLI / Codex) | 4 |
| OpenCode | 5 |



##### Bing-copilot-search





##### Google-ai





##### Perplexity





##### Google-ai-mode




- Prompt text: Which AI coding agents complete multi-file tasks fastest without sacrificing correctness — benchmarks or real-world comparisons?


#### Brand position by platform

Chatgpt-search: Not available
Bing-copilot-search: Not available
Google-ai: Not available
Perplexity: Not available
Google-ai-mode: Not available



#### Platform rows



##### Chatgpt-search





##### Bing-copilot-search





##### Google-ai





##### Perplexity





##### Google-ai-mode




- Prompt text: Which autonomous coding agents integrate natively with popular code editors so devs can trigger agent tasks without leaving their IDE?


#### Brand position by platform

Chatgpt-search: Not available
Bing-copilot-search: Not available
Google-ai: Not available
Perplexity: Not available
Google-ai-mode: 3



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| OpenAI (Codex CLI / Codex) | 2 |



##### Bing-copilot-search





##### Google-ai





##### Perplexity





##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Cognition (Devin) | 3 |


- Prompt text: Which agentic coding platforms integrate with project management tools so engineers can assign tickets directly to an AI agent to action?


#### Brand position by platform

Chatgpt-search: Not available
Bing-copilot-search: Not available
Google-ai: Not available
Perplexity: Not available
Google-ai-mode: Not available



#### Platform rows



##### Chatgpt-search





##### Bing-copilot-search





##### Google-ai





##### Perplexity





##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Cline Bot Inc. | 1 |
| Aider AI | 2 |
| Warp | 3 |


- Prompt text: Which cloud coding agents can be connected to an existing private repo and start opening pull requests with minimal setup?


#### Brand position by platform

Chatgpt-search: Not available
Bing-copilot-search: Not available
Google-ai: Not available
Perplexity: Not available
Google-ai-mode: Not available



#### Platform rows



##### Chatgpt-search





##### Bing-copilot-search

| Display name | Position |
| --- | --- |
| Augment Code | 4 |



##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| OpenAI (Codex CLI / Codex) | 4 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Aider AI | 2 |


- Prompt text: Which cloud coding agents integrate with CI pipelines to automatically attempt fixes when a build or test suite fails?


#### Brand position by platform

Chatgpt-search: 2
Bing-copilot-search: Not available
Google-ai: Not available
Perplexity: Not available
Google-ai-mode: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Cognition (Devin) | 2 |



##### Bing-copilot-search





##### Google-ai

| Display name | Position |
| --- | --- |
| All Hands AI (OpenHands) | 1 |



##### Perplexity

| Display name | Position |
| --- | --- |
| All Hands AI (OpenHands) | 3 |



##### Google-ai-mode







## Top sources

| Url | Title | Domain | Logo url | Source vertical | Content type | Citation count | Last30d count |
| --- | --- | --- | --- | --- | --- | --- | --- |
| https://docs.devin.ai/get-started/devin-intro | Devin Docs: Introducing Devin | docs.devin.ai | Not available | commercial | documentation | 1 | 1 |
| https://devin.ai/pricing | Plans and Pricing | devin.ai | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/b29857fc-5b1b-4cb1-a7a1-bdd6b5ec0a30/373ee4ca5b227487c347fbdbf2d34261954b08b9.png | commercial | product_page | 1 | 1 |
| https://devin.ai/agents101 | Coding Agents 101: The Art of Actually Getting Things Done | devin.ai | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/b29857fc-5b1b-4cb1-a7a1-bdd6b5ec0a30/373ee4ca5b227487c347fbdbf2d34261954b08b9.png | commercial | article | 1 | 1 |
| https://docs.devin.ai/integrations/linear | Linear - Devin Docs | docs.devin.ai | Not available | commercial | documentation | 1 | 1 |
| https://docs.devin.ai/use-cases/testing-refactoring | Testing & Refactoring - Devin Docs | docs.devin.ai | Not available | commercial | documentation | 1 | 1 |
| https://docs.devin.ai/automation-templates/weekly-dependency-updates | Weekly Dependency Updates — Automation Template - Devin Docs | docs.devin.ai | Not available | commercial | documentation | 1 | 1 |
| https://docs.devin.ai/automation-templates/circleci-failure-fix | CircleCI Failure Fix — Automation Template - Devin Docs | docs.devin.ai | Not available | commercial | documentation | 1 | 1 |
| https://docs.devin.ai/de/enterprise/vpc/overview | Überblick über die VPC-Bereitstellung - Devin Docs | docs.devin.ai | Not available | commercial | documentation | 1 | 1 |



## Response excerpts





## Competitor excerpts

| Platform | Competitor name | Excerpt |
| --- | --- | --- |
| bing-copilot-search | Augment Code | Leading options include Cursor Enterprise, GitHub Copilot Business/Enterprise, Augment Code, Qodo, and self-hosted Llama-based stacks, as well as orchestration platforms like Clarista, IBM watsonx Agents, and Red Hat’s OpenClaw that explicitly e... |
| google-ai | Warp | Warp (Enterprise Tier): * How it works: An AI-accelerated terminal. |
| chatgpt-search | Amp | ### My shortlist \| Tool \| Recovery model \| Long-running fit \| \| --- \| --- \| --- \| \| Amp \| Durable agent execution + persistent thread/orb state; wakes and continues with thread context \| Excellent \| \| OpenAI C... |



## Trend

Visibility delta: 2.4000000000000004
Avg position delta: -0.25
Citation count delta: 2