# Augment Code AI visibility in Autonomous Coding Agents Canonical: https://devtune.ai/verticals/autonomous-coding-agents/augment-code [Website](https://www.augmentcode.com/) 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: 4 Total brands: 17 Measured responses: 125 Presence percent: 7.199999999999999 Share of voice percent: 11.11111111111111 Average position: 5.833333333333333 Docs presence percent: 0 Blog presence percent: 0 Brand mention percent: 6.4 ## Profile Overview: Augment Code (Augment Inc.) is a Palo Alto-based enterprise agentic software development platform founded in 2022 by Igor Ostrovsky (ex-Pure Storage chief architect) and Guy Gur-Ari (ex-Google AI researcher), led by CEO Scott Dietzen (ex-Pure Storage CEO). Its flagship product, Cosmos, orchestrates networks of AI agents across the full software development lifecycle—from ticket triage and code authoring through PR review, testing, and incident response. The platform's proprietary Context Engine maps codebase structure across up to 500,000 files, enabling agents to act with architectural awareness. Its Prism routing layer directs each AI turn to the highest-ROI model, claiming 20–30% cost reduction versus direct frontier-model access. Augment targets enterprise engineering organizations and has raised $252M in funding with customers including Adobe, MongoDB, Pure Storage, and DXC Technology. Product summary: Cosmos is Augment Code's unified agentic platform that coordinates specialized AI experts—PR Author, Code Reviewer, Tester, Incident Responder, Work Dispatcher, and more—across the entire SDLC. The Context Engine provides structural codebase understanding for large monorepos. Prism routes each LLM call to the optimal model per turn. A self-learning shared knowledge base captures team workflows and compounds organizational intelligence over time. Available via IDE extensions (VS Code, JetBrains, Visual Studio, Neovim), a CLI, and a managed cloud environment, with enterprise-grade controls including on-premises deployment, CMEK, VPC isolation, sandboxed agent execution, and comprehensive audit logging. ### Key capabilities - Context Engine: structural codebase indexing of up to 500,000 files with real-time dependency and call-graph mapping - Cosmos platform: multi-agent SDLC orchestration from ticket triage through authored PR, review, testing, and incident response - Prism model routing: per-turn LLM selection targeting 20–30% lower cost per task at maintained quality - Autonomous code review agents with inline PR comments, risk analysis, and blast-radius assessment - Ticket-to-PR automation: natural language task description to reviewed and merged pull request - Incident management: autonomous alert investigation and resolution before on-call escalation - Security remediation: automated CVE-to-reviewed-fix pipeline - Self-learning organizational knowledge base with shared expert registry across agents and teams - Enterprise security: SOC 2 Type II, ISO/IEC 42001 AIMS certification, CMEK, SAML/OIDC/SCIM, SIEM, audit logs - Multi-model BYOK support with vendor-agnostic model selection across frontier and open-weights models ### Target users - Enterprise engineering teams managing large or multi-repository codebases - Engineering leaders (CTOs, VPs of Engineering) driving organizational AI adoption - Software engineers working on complex, long-tenure or legacy codebases - DevOps and platform engineering teams automating SDLC workflows - Security and compliance-sensitive organizations requiring SOC 2, HIPAA, or ISO 42001 controls ### Key use cases - Automated pull request review and risk analysis at scale - Ticket-to-PR: agent-driven feature development from backlog to merged code - Security vulnerability (CVE) detection and automated remediation - Test coverage generation and suite maintenance - Incident triage and autonomous resolution before on-call escalation - Legacy system modernization and large-scale codebase migrations - Accelerated new engineer onboarding via codebase-aware agents - Recurring SDLC workflow standardization across engineering organizations Integrations ecosystem: Native integrations with GitHub (PR review, Actions, branch protection, CODEOWNERS), Slack, Jira, Linear, Notion, and CI/CD pipelines. IDE support spans VS Code, JetBrains, Visual Studio, and Neovim. Infrastructure deployment options include local laptops, GitHub Codespaces, dev containers, Augment's managed cloud, and customer-hosted AWS and GCP environments. The platform supports MCP (Model Context Protocol) for custom tool connections, BYOK (Bring Your Own Keys) for LLMs, and single-tenant VPC deployment. Enterprise Code Review supports multi-org GitHub configurations. Pricing summary: Business plan: $100/month flat for up to 50 seats, with $100 of pooled monthly usage included (LLM inference billed at provider list price plus a 40% service fee, plus compute). Pay-as-you-go top-ups available; purchased credits valid for 12 months. Enterprise plan: custom pricing with unlimited users, bespoke usage limits, volume discounts, SSO/OIDC/SCIM, CMEK, ISO 42001 compliance, multi-region compute, unlimited concurrent sessions, and dedicated support. No per-seat charge on Business; usage pooled across the team. Review summary: Augment Code earns strong ratings on Gartner Peer Insights (4.8/5, 41 reviews) with reviewers consistently praising the Context Engine's accuracy on large codebases, fast and contextually relevant suggestions, and seamless IDE integration. G2 data is extremely limited (2 reviews as of mid-2026 per secondary sources). Developer community sentiment is polarized: technical quality of codebase understanding is widely praised across Reddit, Hacker News, and Product Hunt, but the October 2025 credit pricing migration generated sustained criticism around cost unpredictability, customer support responsiveness, and perceived bait-and-switch billing changes. Competitive positioning: Augment Code positions itself as an enterprise-grade agentic SDLC platform for large engineering organizations, differentiating on its proprietary Context Engine (structural codebase indexing of up to 500,000 files) and the Cosmos orchestration layer that coordinates multiple AI agents across the full software development lifecycle. Unlike individual developer tools such as Cursor or Claude Code, Augment targets organizational-scale AI transformation—routing each AI turn via its Prism model-routing system, compounding shared organizational memory, and enforcing strict enterprise security (SOC 2 Type II, ISO/IEC 42001 AIMS, CMEK). Its stated benchmark advantage is delivering frontier-level code quality at 33% lower token cost versus running Claude directly on the same tasks. Limitations: Credit-based pricing migration (October 2025, from message-based to usage-based billing) generated significant developer backlash, with community threads describing it as a bait-and-switch. Native code review integration is GitHub-only; GitLab and Bitbucket require CLI-based workarounds with manual setup. Business plan caps at 50 seats; larger teams require custom Enterprise contracts with undisclosed pricing. Customer support response times have been cited in reviews as slow (one Gartner reviewer reported a 10-day wait). Agentic workflows reported as slower than expected on larger or more complex tasks. Cost predictability is lower than flat-rate unlimited competitors such as Cursor or GitHub Copilot. ### Source urls - https://www.augmentcode.com/ - https://www.augmentcode.com/pricing - https://www.augmentcode.com/customers - https://www.augmentcode.com/blog/augment-inc-raises-227-million - https://techcrunch.com/2024/04/24/eric-schmidt-backed-augment-a-github-copilot-rival-launches-out-of-stealth-with-252m/ - https://siliconangle.com/2024/04/24/secretive-ai-coding-assistant-startup-augment-raises-227m-rival-githubs-copilot/ - https://www.gartner.com/reviews/market/ai-code-assistants/compare/augment-code-vs-github - https://prospeo.io/s/augment-pricing-reviews-pros-and-cons - https://tracxn.com/d/companies/augment/__zpGdmVDTCW_fQSm2fU1yEc-_YF5RFXVzB6569LIElHo - https://www.tembo.io/blog/augment-code-alternatives Reviewed at: 2026-06-30T15:20:09.387+00:00 ### Customer outcomes | Customer | Summary | Metric | | --- | --- | --- | | Tekion | Deployed persona-driven AI agents across development, QA, and product for 1,300+ engineers, achieving broad productivity gains and near-complete automated test coverage on major systems. | 50–100% productivity gains; 90%+ test coverage on major systems | | DXC Technology | Embedded Augment Code into select critical projects within its 50,000-developer organization, dramatically cutting delivery timelines on those projects. | Delivery timeline reduced from ~1 year to 10 days on select projects | | Quorum | Used context-aware AI agents to accelerate development of a personalized feature shipped in time for a major industry conference. | Development timeline reduced from 3 weeks to 3 days | | Keeta | Early-access customer reporting broad developer productivity improvement across the engineering organization, cited in Augment's Series B announcement. | >40% increase in developer productivity | | Pure Storage | Scaling a 2,000-engineer organization using Augment's Context Engine on a 2.1M-line C++ codebase, targeting significant velocity improvement. | Targeting 3x delivery velocity | ### Reviews breakdown | Platform | Score | Score max | Review count | Url | | --- | --- | --- | --- | --- | | Gartner Peer Insights | 4.8 | 5 | 41 | https://www.gartner.com/reviews/market/ai-code-assistants/compare/augment-code-vs-github | | G2 | 2.8 | 5 | 2 | https://www.g2.com/products/augment-code/reviews | ### Review themes #### Praised - Superior context awareness across large and complex codebases - Fast and relevant code suggestions with minimal flow disruption - Seamless IDE integration across multiple editors - Multi-model flexibility and BYOK support - Enterprise security posture and compliance certifications - Code review quality and cross-service dependency detection - Agentic workflow automation reducing repetitive developer toil #### Criticized - Credit-based pricing perceived as unpredictable and expensive for heavy users - October 2025 pricing migration described as bait-and-switch by legacy plan holders - Slow or unresponsive customer support - Agentic workflows slower than expected on large or complex tasks - No native GitLab or Bitbucket integration for code review - Higher cost than flat-rate competitors for individual developers ### Company facts Founded year: 2022 Hq: Palo Alto, California, USA #### Founders - Igor Ostrovsky - Guy Gur-Ari Employees range: 100-200 Total funding: $252M Valuation: ~$977M (Apr 2024) Arr: Not available 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 | 1 | 4 | | bing-copilot-search | 3 | 12 | | google-ai | 1 | 4 | | perplexity | 2 | 8 | | google-ai-mode | 2 | 8 | ## Strengths | Prompt text | Platform count | Avg position | | --- | --- | --- | | What AI coding agents support bring-your-own LLM provider so a platform team can route through an existing enterprise model contract? | 1 | 1 | ## Gaps | Prompt text | Competitor presence count | | --- | --- | | Which AI coding agents handle context window limitations most gracefully when working across dozens of files in an enterprise codebase? | 3 | | I'm evaluating autonomous coding agents for a 10-person startup — which ones can a new engineer get productive with in under an hour? | 3 | | What autonomous coding agents run tasks inside a secure sandbox so a compromised prompt can't affect the host filesystem? | 3 | | What autonomous coding tools are best suited for a solo developer who wants to delegate routine feature work and focus on architecture? | 3 | | Which cloud coding agents integrate with CI pipelines to automatically attempt fixes when a build or test suite fails? | 3 | ## Topic scores | Topic name | Prompt count | Cited prompt count | | --- | --- | --- | | Capability | 5 | 2 | | Developer Experience | 5 | 2 | | Integrations & Ecosystem | 5 | 1 | | 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: 4 Bing-copilot-search: Not available Google-ai: Not available Perplexity: 9 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: 1 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: 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) | 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: Not available #### 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: 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 | | 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: 3 #### 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: 5 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: Not available Bing-copilot-search: Not available Google-ai: Not available Perplexity: 10 Google-ai-mode: 2 #### 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: 5 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: Not available 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: Not available #### 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: 4 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: 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 | | --- | --- | | 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://www.augmentcode.com/tools/13-best-ai-coding-tools-for-complex-codebases | 13 Best AI Coding Tools for Complex Codebases in 2026 \| Augment Code | augmentcode.com | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/b29857fc-5b1b-4cb1-a7a1-bdd6b5ec0a30/c419b4bf15aa44e7f01c55321f58519e20755175.png | commercial | listicle | 5 | 5 | | https://www.augmentcode.com/guides/agent-execution-sandbox | What Is an Agent Execution Sandbox? \| Augment Code | augmentcode.com | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/b29857fc-5b1b-4cb1-a7a1-bdd6b5ec0a30/c419b4bf15aa44e7f01c55321f58519e20755175.png | commercial | documentation | 5 | 5 | | https://www.augmentcode.com/learn/remote-agents-guide-deploy-autonomous-development-workers | Remote Agents Guide: Deploy Autonomous Development Workers \| Augment Code | augmentcode.com | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/b29857fc-5b1b-4cb1-a7a1-bdd6b5ec0a30/c419b4bf15aa44e7f01c55321f58519e20755175.png | commercial | comparison | 3 | 3 | | https://www.augmentcode.com/ | Augment Code - The Software Agent Company | augmentcode.com | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/b29857fc-5b1b-4cb1-a7a1-bdd6b5ec0a30/c419b4bf15aa44e7f01c55321f58519e20755175.png | commercial | documentation | 2 | 2 | | https://www.augmentcode.com/guides/ai-model-routing-guide | Best AI Model for Coding Agents in 2026: A Routing Guide | augmentcode.com | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/b29857fc-5b1b-4cb1-a7a1-bdd6b5ec0a30/c419b4bf15aa44e7f01c55321f58519e20755175.png | commercial | documentation | 2 | 2 | | https://www.augmentcode.com/tools/8-top-ai-coding-assistants-and-their-best-use-cases | 8 Best AI Coding Assistants [Updated May 2026] \| Augment Code | augmentcode.com | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/b29857fc-5b1b-4cb1-a7a1-bdd6b5ec0a30/c419b4bf15aa44e7f01c55321f58519e20755175.png | commercial | listicle | 1 | 1 | | https://www.augmentcode.com/tools/sourcegraph-cody-vs-aider | Sourcegraph Cody vs Aider (2026): Enterprise Platform or ... | augmentcode.com | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/b29857fc-5b1b-4cb1-a7a1-bdd6b5ec0a30/c419b4bf15aa44e7f01c55321f58519e20755175.png | commercial | comparison | 1 | 1 | | https://www.augmentcode.com/tools/best-enterprise-ai-code-generators | 6 Best Enterprise AI Code Generators for 2026 \| Augment Code | augmentcode.com | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/b29857fc-5b1b-4cb1-a7a1-bdd6b5ec0a30/c419b4bf15aa44e7f01c55321f58519e20755175.png | commercial | listicle | 1 | 1 | ## Response excerpts | Prompt text | Platform | Excerpt | | --- | --- | --- | | What AI coding agents do senior engineers prefer for refactoring large codebases without babysitting every intermediate step? | google-ai | For Enterprise Legacy Code & Cross-Service Context: Augment Code * What it is: An enterprise-focused AI assistant built specifically for massive, complex monorepos and legacy modernization. | | Which AI coding agents handle context window limitations most gracefully when working across dozens of files in an enterprise codebase? | perplexity | ...reliable than Aider or Claude Code for very distant cross-file relationships in huge repos [8]. 4. Sourcegraph Cody / Augment Code — best for enterprise-scale retrieval and governance - These are the strongest choices when “enterprise codeb... | | What autonomous coding agents run tasks inside a secure sandbox so a compromised prompt can't affect the host filesystem? | bing-copilot-search | Enterprise AI Security: OS-Level Sandboxing for Coding Agents \| \| Agent Execution Sandbox (Augment Code) \| Default-deny filesystem + network policies \| Restricts runtime code generation from untrusted inputs \| Hardware-level isolation, layered escap... | ## Competitor excerpts | Platform | Competitor name | Excerpt | | --- | --- | --- | | perplexity | OpenCode | OpenCode — Install, connect a provider, run `/init`, then start working in the terminal. | ## Trend Visibility delta: -3.200000000000001 Avg position delta: 1.666666666666666 Citation count delta: -6