Amp is built for Individual software developers seeking pay-as-you-go frontier AI coding assistance, Engineering teams wanting collaborative thread sharing and shared agent context, Terminal and CLI-oriented developers who prefer editor-agnostic workflows, Enterprise engineering organizations requiring SSO, compliance, and managed cost controls. Common use cases include Autonomous multi-file code editing, refactoring, and test fixing from the terminal; Parallel code migration tasks (e.g., converting CSS to Tailwind across multiple files using subagents); Deep debugging sessions using the Oracle for complex reasoning on hard bugs.

Amp uses a credit-based, pay-as-you-go model. For individual and non-enterprise workspace users, LLM API costs are passed through with zero markup; the minimum credit purchase is $5. Enterprise workspaces are priced at 50% above individual/team rates and require a one-time $1,000 USD purchase to activate, which grants $1,000 of Enterprise-tier credits. Enterprise includes SSO (Okta, SAML), directory sync, zero data retention for LLM text inputs, per-user entitlements, IP allowlisting, and managed settings. A free tier (Amp Free) exists for interactive CLI sessions; execute-mode (amp -x) consumes paid credits only. Credits are pooled at the workspace level and expire after one year of account inactivity. Invoicing is via Stripe.

What are the alternatives to Amp?

Common Autonomous Coding Agents alternatives to Amp include OpenAI (Codex CLI / Codex), Cursor (Anysphere), Anthropic (Claude Code), Augment Code, Cognition (Devin). See the full comparison hub at /verticals/autonomous-coding-agents/compare.

What do users praise about Amp?

Users frequently praise: Highly agentic and autonomous multi-file task execution; IDE agnosticism — works with VS Code, JetBrains, Neovim, Zed; Smart automatic context and thread management; Multi-model routing matching model to task complexity; Pay-as-you-go with no markup on LLM costs; Polish and premium UX compared to Claude Code and Codex; Workspace thread sharing for team collaboration; Audio and web remote-control notifications.

What are common complaints about Amp?

Frequently cited limitations: Subagents cannot communicate mid-task, limiting complex coordination; AI-generated code quality requires careful human review; Cost unpredictability with advanced models at scale; No native Windows support (WSL required); No bring-your-own-key option for model providers; Tools run autonomously without approval prompts by default; Enterprise pricing at 50% premium over individual plans.

When was Amp founded and where?

Amp was founded in 2025, headquartered in San Francisco, USA by Quinn Slack, Beyang Liu, Thorsten Ball.

AI visibility report

AI visibility report for Amp in Autonomous Coding Agents.

Outside the top three on 20 of the 25 prompts buyers actually ask.

Cursor (Anysphere) is cited on 10 of those losses.

25 prompts

5 platforms

Updated Sep 27, 2026 - refreshed weekly

Track Amp daily

14-day free trial. No card required. Setup comes pre-filled for Amp.

Track Amp across these prompts daily.

Start your 14-day trial

1percent

Presence Rate

Low presence

Still absent from 99.2% of tracked prompt responses

Top-3 citations across 125 prompt × platform pairs

No clearrank

Peer Ranking

#1#17

No clear rankin Autonomous Coding Agents

Key Metrics

Presence Rate

0.8%

Share of Voice

0.9%

Avg Position

#1.0

Docs Presence

0.0%

Blog Presence

0.8%

Brand Mentions

0.8%

Platform Breakdown

ChatGPT

4%1/25 prompts

Bing Copilot

Research dossierCapabilities, use cases, sources, reviews, pricing, and FAQ

Overview

Amp is a frontier autonomous coding agent developed by Amp Frontier Corporation, a company spun out of Sourcegraph in December 2025. Delivered as a CLI with integrations for VS Code, JetBrains, Neovim, and Zed, Amp routes tasks across multiple leading frontier models—including Claude Opus 4.8 for its smart mode and GPT-5.5 for deep and rush modes—selecting the best model for the complexity of each task. It supports parallel subagent execution, an Oracle secondary-reasoning model, a Librarian for GitHub code search, and a Painter for AI image generation. Amp uses a pay-as-you-go credit system with no markup for non-enterprise users. Workspace thread sharing, enterprise SSO, zero-data-retention inference, and a TypeScript plugin API serve team and enterprise buyers. Amp claims profitability since its spinout and describes its design philosophy as ruthlessly frontier-focused.

AI visibility report

AI visibility report for Amp in Autonomous Coding Agents.

Outside the top three on 20 of the 25 prompts buyers actually ask.

Cursor (Anysphere) is cited on 10 of those losses.

25 prompts

5 platforms

Updated Sep 27, 2026 - refreshed weekly

Track Amp daily

14-day free trial. No card required. Setup comes pre-filled for Amp.

Track Amp across these prompts daily.

Start your 14-day trial

1percent

Presence Rate

Low presence

Still absent from 99.2% of tracked prompt responses

Top-3 citations across 125 prompt × platform pairs

No clearrank

Peer Ranking

#1#17

No clear rankin Autonomous Coding Agents

Key Metrics

Presence Rate

0.8%

Share of Voice

0.9%

Avg Position

#1.0

Docs Presence

0.0%

Blog Presence

0.8%

Brand Mentions

0.8%

Platform Breakdown

ChatGPT

4%1/25 prompts

Bing Copilot

Research dossierCapabilities, use cases, sources, reviews, pricing, and FAQ

Overview

Reviews

4.5/5G2·90+

Praised

Highly agentic and autonomous multi-file task execution
IDE agnosticism — works with VS Code, JetBrains, Neovim, Zed
Smart automatic context and thread management
Multi-model routing matching model to task complexity
Pay-as-you-go with no markup on LLM costs
Polish and premium UX compared to Claude Code and Codex
Workspace thread sharing for team collaboration
Audio and web remote-control notifications

Criticized

Subagents cannot communicate mid-task, limiting complex coordination
AI-generated code quality requires careful human review
Cost unpredictability with advanced models at scale
No native Windows support (WSL required)
No bring-your-own-key option for model providers
Tools run autonomously without approval prompts by default
Enterprise pricing at 50% premium over individual plans

User testimonials from X/Twitter describe Amp as polished, highly agentic, and more reliable than Claude Code or OpenAI Codex for autonomous multi-file tasks. Independent developer reviews highlight strong codebase context awareness, IDE agnosticism, smart context management, and quality-of-life features like audio completion notifications. Common criticisms include concerns about AI-generated code quality requiring review, cost unpredictability at scale with advanced models, and subagents' inability to communicate mid-task. The G2 listing (4.5/5, 90 reviews) conflates older Sourcegraph Cody reviews with the current Amp product, limiting its reliability as a standalone signal for the Amp coding agent.

Prompt	ChatGPT	Bing Copilot	Gemini Search	Perplexity	Google AI Mode
Capability0/5 cited (0%)
What autonomous coding tools handle legacy codebases in dynamically typed languages best — Python 2 or older PHP specifically?	A competitor was cited	Neither your brand nor a competitor was cited	Neither your brand nor a competitor was cited	Neither your brand nor a competitor was cited	Neither your brand nor a competitor was cited
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	PresencePres.	Share of VoiceSoV	DocsDocs	BlogBlog	MentionsMent.	Avg PosPos
1	OpenAI (Codex CLI / Codex)	16.8%	24.1%	1.6%	0.0%	55.2%	#3.5
2	Cursor (Anysphere)	12.8%	20.4%	2.4%	0.8%	60.8%	#3.3
3	Anthropic (Claude Code)	8.8%	10.2%	4.0%	0.0%	85.6%	#2.8
4	Augment Code	7.2%	11.1%	0.0%	0.0%	6.4%	#5.8
5	Cognition (Devin)	5.6%	7.4%	4.8%	0.0%	45.6%	#3.3
6	All Hands AI (OpenHands)	4.0%	6.5%	1.6%	0.8%	17.6%	#1.9
7	Aider AI	4.0%	6.5%	4.0%	0.0%	24.8%	#2.4
8	Warp	4.0%	4.6%	3.2%	0.0%	4.0%	#4.2
9	Cline Bot Inc.	3.2%	3.7%	0.0%	0.8%	14.4%	#3.0
10	OpenCode	1.6%	2.8%	1.6%	0.0%	11.2%	#4.7
11	Amp	0.8%	0.9%	0.0%	0.8%	0.8%	#1.0
12	Block (Goose)	0.8%	0.9%	0.0%	0.0%	0.0%	#3.0
13	Factory (Droid)	0.8%	0.9%	0.8%	0.0%	0.8%	#4.0
14	Lovable	0.0%	0.0%	0.0%	0.0%	0.0%	—
15	Replit (Agent 3)	0.0%	0.0%	0.0%	0.0%	0.8%	—
16	Roo Code (Roomote)	0.0%	0.0%	0.0%	0.0%	4.8%	—
17	StackBlitz (Bolt.new)	0.0%	0.0%	0.0%	0.0%	0.0%	—

Developer Experience0/5 cited (0%)
Which AI coding agents handle context window limitations most gracefully when working across dozens of files in an enterprise codebase?	A competitor was cited	Neither your brand nor a competitor was cited	Neither your brand nor a competitor was cited	A competitor was cited	A competitor was cited

Integrations & Ecosystem0/5 cited (0%)
What AI coding agents support bring-your-own LLM provider so a platform team can route through an existing enterprise model contract?	A competitor was cited	A competitor was cited	A competitor was cited	A competitor was cited	A competitor was cited

Performance & Reliability1/5 cited (20%)
What agentic coding tools handle long-running tasks reliably — resuming after an interruption rather than starting over from scratch?	Your brand and a competitor were cited	Neither your brand nor a competitor was cited	Neither your brand nor a competitor was cited	Neither your brand nor a competitor was cited	A competitor was cited

AI visibility report for Amp in Autonomous Coding Agents.

Key Metrics

Platform Breakdown

Overview

AI visibility report for Amp in Autonomous Coding Agents.

Key Metrics

Platform Breakdown

Overview

Prompts where competitors are visible and Amp is not.

Where Amp is winning1

Where Amp is losing5

Key Facts

Key Capabilities10

Key Use Cases8

Recent Trend

How AI describes Amp1

Most cited sources1

Alternatives in Autonomous Coding Agents6

Reviews

Pricing

Limitations

Topic Coverage

Prompt-Level Results

Vertical Ranking

Turn this into your team dashboard

Frequently asked questions

Setup & First Run0/5 cited (0%)
I'm evaluating autonomous coding agents for a 10-person startup — which ones can a new engineer get productive with in under an hour?	A competitor was cited	Neither your brand nor a competitor was cited	Neither your brand nor a competitor was cited	A competitor was cited	A competitor was cited

AI visibility report for Amp in Autonomous Coding Agents.

Key Metrics

Platform Breakdown

Overview

AI visibility report for Amp in Autonomous Coding Agents.

Key Metrics

Platform Breakdown

Overview

Prompts where competitors are visible and Amp is not.

Where Amp is winning1

Where Amp is losing5

Key Facts

Key Capabilities10

Key Use Cases8

Recent Trend

How AI describes Amp1

Most cited sources1

Alternatives in Autonomous Coding Agents6

Reviews

Pricing

Limitations

Topic Coverage

Prompt-Level Results

Vertical Ranking

Turn this into your team dashboard

Frequently asked questions

What does Amp do?

Who is Amp best for?

How is Amp priced?

What are the alternatives to Amp?

What do users praise about Amp?

What are common complaints about Amp?

When was Amp founded and where?