Comparing as AI Agent BuildersLinear vs Amp
Linear
Amp
Core Differences
The fundamental difference between Linear and Amp lies in their primary function and scope within the software development ecosystem.
- Linear is a product development system: It operates at a higher level, focusing on workflow orchestration, project management, and issue tracking. It integrates AI agents to automate product-centric tasks, manage roadmaps, and facilitate team collaboration around the entire product lifecycle. Its value is in structuring and streamlining the 'what' and 'when' of building products.
- Amp is an AI coding agent: It operates at the code level, directly assisting developers with code generation, understanding, search, and refactoring. Its core function is to enhance developer productivity by providing intelligent, context-aware AI assistance within the IDE or CLI. Its value is in accelerating the 'how' of writing and maintaining code.
Verdict by Category
Best for Product Management & Workflow Orchestration
Linear is purpose-built as a product development system, excelling in strategic planning, issue tracking, and team alignment with AI agent integration.
Best for AI Coding Assistance
Amp provides direct, multi-model AI support for coding, offering unparalleled context, generation, and search capabilities within the developer's environment.
Best Free Tier Value
Amp's ad-supported free tier offers genuinely unlimited access to core agent features and autocomplete without hard token caps, unlike Linear's issue limit.
Best for Enterprise AI Workflow Integration
Linear's system-level approach to integrating AI agents into product workflows makes it more suitable for holistic enterprise-wide process enhancement.
Best for Codebase Understanding & Search
Amp's unique Librarian sub-agent and Sourcegraph's code intelligence infrastructure provide deep, live search capabilities across vast repositories.
Best for Multi-IDE & CLI Flexibility
Amp is available across CLI and virtually every major editor (VS Code, JetBrains, Neovim, etc.), offering true editor-agnostic flexibility.
Editor's Take
Honest opinion from our review team
As someone who navigates both the strategic planning and hands-on coding aspects of software development, I found that Linear provides a remarkably clean and focused experience for product management. Initially, its opinionated methodology might feel like a steep learning curve, but once you embrace its structure, the flow for issue tracking, roadmap planning, and especially its Git automations feels incredibly efficient. The integration of AI agents for task automation is a game-changer for reducing administrative overhead, making the system feel less like a chore and more like an intelligent assistant for the entire product team.
On the other hand, Amp completely transforms the coding experience. It doesn't just feel like another autocomplete tool; it's a true intellectual partner in the IDE. The multi-model routing is seamless, almost imperceptible, as it intelligently selects the best AI for the job. What truly impressed me was the Librarian sub-agent – being able to search vast public and private repos without ever leaving my coding session or manually loading files felt like having an omniscient code guru by my side. While the free tier's sponsored suggestions can be a minor distraction, the sheer power and fluidity of Amp's coding assistance make it an indispensable tool for boosting developer productivity. It truly feels like an extension of my own coding brain.
Detailed Comparison
Both Linear and Amp offer a freemium pricing model, but their approaches to value in the free and paid tiers differ significantly, catering to their respective user bases.
- Linear's Free Tier: This tier is designed for small teams or initial exploration, offering $0 for everyone but with limitations to 2 teams and 250 issues. While it provides access to the core product development system, the issue cap makes it unsuitable for sustained, active projects beyond a very small scale. Paid tiers (`Basic` at $10/user/month, `Business` at $16/user/month, `Enterprise` custom) unlock unlimited issues, advanced features, and greater scalability, making the value proposition clear for growing teams that demand a robust product system.
- Amp's Free Tier: This is arguably one of Amp's strongest selling points. The ad-supported free tier stands out as genuinely unlimited among major coding agents, providing core agent access, Amp Tab autocomplete, thread sharing, and the powerful Librarian codebase sub-agent without hard token caps or daily limits. This offers immense value for individual developers who want extensive AI assistance without financial commitment, though it comes with sponsored suggestions in non-code contexts. Paid tiers (`Smart Mode` at $20/month, `Higher-Volume` at $200/month, `Enterprise` custom) remove ads, ensure zero data sharing/training, provide priority model routing, and unlock advanced reasoning modes. This structure provides a clear upgrade path for privacy-conscious or high-demand users while maintaining a highly accessible entry point.
In summary, Amp offers a more generous and genuinely useful free tier for its target audience (developers), allowing extensive usage without hitting artificial limits. Linear's free tier is more of a restricted trial. For paid tiers, both scale with features and support, with Amp's 'Smart Mode' providing crucial privacy and performance benefits for professional developers.
Linear Pros & Cons
Pros
- Purpose-built for AI-enhanced product development
- Streamlines workflows and reduces noise
- Enhances team alignment and focus
- Offers integrations with popular development tools
- Provides visual planning and progress monitoring
- Supports both human and AI agent collaboration
Cons
- Steep learning curve for users unfamiliar with its methodology
- Reliance on integrations may create dependency on other services
- Limited customization options compared to more flexible platforms
- Advanced features require a paid subscription
- Potential vendor lock-in
Amp Pros & Cons
Pros
- Ad-supported free tier is the only genuinely unlimited free tier among major coding agents — no hard token caps, no daily limits
- Multi-model routing across Claude, GPT, and other frontier models per task — not locked to a single AI provider
- The Librarian uniquely enables live search across all public GitHub and private repos without loading files manually
- Sourcegraph's code intelligence infrastructure gives Amp deeper codebase context than most terminal agents
- Available in CLI plus every major editor (VS Code, Cursor, Windsurf, JetBrains, Zed, Neovim) — true editor-agnostic flexibility
- 40,000+ teams adopted within the first months of 2026 — rapid validation of product-market fit after spin-out
Cons
- Ad-supported free tier means sponsored suggestions appear in non-code contexts like the dashboard and docs lookups
- No open-source code — closed-source commercial product unlike Cline, Goose, or OpenHands
- Smart Mode (no data sharing) requires a paid subscription — free tier users' interactions inform Amp's training pipeline
- As of August 2026 Amp subscriptions are $20 and $200/month — pricing is now similar to Claude Code and Cursor, eliminating its former pay-as-you-go-only advantage
- CLI-first design means limited visual IDE experience compared to Cursor or Windsurf — no GUI file explorer or diff viewer built in
- Spun out from Sourcegraph in December 2025 — organizational independence is new and long-term stability is still being established
AI Verdict
In the rapidly evolving landscape of AI-powered development tools, Linear and Amp emerge as distinct yet complementary solutions, each tailored for specific facets of the product development lifecycle. Linear positions itself as a comprehensive product development system for teams and AI agents, focusing on the orchestration of product planning, issue tracking, and overall project management. Its core strength lies in providing a structured environment where human teams and integrated AI agents collaborate seamlessly to enhance speed, focus, and alignment. Ideal for product managers, designers, and engineering leads, Linear excels in strategic roadmap planning, visual progress monitoring, and streamlining Git automations, ultimately reducing noise and allowing teams to concentrate on building. It's about bringing AI into the management and workflow automation layer of product delivery, making it a powerful tool for startups to enterprises aiming for a more intelligent, integrated product development process.
Conversely, Amp, built by Sourcegraph, is an advanced multi-model AI coding agent designed to directly assist individual developers and engineering teams with the act of writing, understanding, and refactoring code. Its key differentiator is its multi-model routing (leveraging Claude Opus, Sonnet, GPT-5, etc.) and the unique Librarian sub-agent that enables native search across vast public and private codebases. Amp's strength lies in its deep technical context, powered by Sourcegraph's code intelligence infrastructure, and its ability to operate across virtually every major IDE and CLI. It targets the developer's immediate coding environment, providing unlimited autocomplete, intelligent code generation, and complex multi-file refactoring capabilities within a 200K token context window. While Linear focuses on the 'what' and 'when' of product building, Amp zeroes in on the 'how'—empowering developers with cutting-edge AI assistance directly at the codebase level.
- Linear's ideal use cases include managing complex product roadmaps, automating issue creation and assignment, and fostering cross-functional team collaboration enhanced by AI agents for task execution. It's for teams looking to systematize their product workflow.
- Amp's ideal use cases revolve around accelerating coding tasks, understanding unfamiliar code, performing large-scale refactors, and searching vast code repositories efficiently. It's for developers seeking to supercharge their coding productivity with AI.
Frequently Asked Questions
QIs Linear only for teams using AI agents in their product?
No, Linear is a product development system for *all* teams. While it's designed with integrated AI agent capabilities to enhance workflows, teams can utilize its robust issue tracking, project management, and collaboration features regardless of whether they actively deploy AI agents within their product or development process. The AI agent integration is an advanced feature to further streamline operations.
QHow does Amp's multi-model routing benefit developers?
Amp's multi-model routing automatically selects the optimal frontier AI model (e.g., Claude Opus 4.7, Sonnet 4.6, GPT-5) for a given task and complexity level. This ensures developers always get the best possible AI assistance, whether it's for long-horizon architectural tasks, standard coding queries, or specialized workflows, without needing to manually switch between different AI providers or tools.
QWhat is the 'Librarian sub-agent' in Amp, and how is it unique?
The Librarian sub-agent in Amp is a unique feature that leverages Sourcegraph's code intelligence infrastructure to search across all public GitHub repositories and connected private repositories natively. This means developers can perform highly intelligent, context-aware code searches without leaving their editor or CLI session, offering a deeper and more integrated understanding of vast codebases than traditional search tools.
QWhat's the main difference between Amp's free tier and Smart Mode?
Amp's free tier provides unlimited core AI coding agent access, autocomplete, and the Librarian sub-agent, supported by ads and with user interactions potentially informing Amp's training. Smart Mode ($20/month) removes all ads, opts you out of data sharing and model training, unlocks 'Oracle Mode' for full reasoning depth, and provides priority model routing during peak demand, offering enhanced privacy and performance.
QCan Linear integrate with developer tools like GitHub?
Yes, Linear offers robust integrations with popular development tools, including GitHub. These integrations enable streamlined workflows, such as automatically updating issue statuses based on Git commits or pull requests, linking code changes directly to project tasks, and enhancing overall development visibility within the product system.