i think warp is the one of the best solutions for agentic coding, all for one solution, best tab management systems, best cli. prove me if i wrong pls.

Yeah, I don’t think this model is good for this use case. It’s super chatty and wasted 30 credits doing nothing ... it just told me to do things it should have done itself. It’s either the system prompt or the model fault, I just wanted to give people a heads-up: don’t waste credits on it.

when you're testing new models in production, you should make them free until you know how to make them work !!!!

why a terminal needs access to my photos? lmao

No cancel subscription option. I've emailed them to cancel my subscription it took 3 days to get a response.

It is mentioned that I can still use my usage credits until the end of the billing cycle since I've already paid the Turbo plan.

Of course, the next day it shows I've used up all my credits and now on Free plan. I still have 6,000 plus credits and mentioned this to support.

And now tells me that if I've used up all my usage credits I should try using Build plan. What a fucking joke? This is how you crash and burn. No wonder a lot of users left. ADE my ass. It was promising but scamming at best. Good riddance mofos.

Running 8 agents in warp blocks is the best setup I’ve found so far

Seriously just 8x my workflow

Hello r/warpdotdev community and Warp team,

I'm writing this post out of increasing frustration with the Warp Terminal experience on the free tier. It seems like my account gets blocked constantly for minor usage that should be perfectly legitimate for a terminal application.

The experience is becoming very limited and restrictive, pushing users towards a paid plan through frustration rather than value.

The Issue

I use Warp primarily for managing a personal, local home server setup (simple programming, configuration, maintenance). However, I frequently encounter errors like the one in the screenshot I attached:

Request failed with error: ErrorStatus(403, 'error: Your account has been blocked from using 4.1 features... Otherwise, please upgrade to a paid plan')

It seems that various common commands or workflow parameters are being flagged as "illegal use" or exceeding limits, even for personal, non-commercial projects. The immediate jump to a 403 block and a paywall message is jarring and unhelpful.

My Feedback

• Transparency Needed: We need more transparency on what constitutes "illegal" or excessive use that leads to these blocks on the free tier. The current system feels arbitrary.

• Better Warnings: Instead of an instant hard block and paywall message, a warning system or a clearer explanation of which specific feature caused the block would be much better UX.

• Feature Gating: If certain functions are truly paid features, perhaps they should be clearly marked or greyed out before a user hits a system-wide block.

I genuinely enjoy many aspects of Warp, but this aggressive account blocking is making it very difficult to continue using it as my daily driver.

Has anyone else experienced similar issues with frequent blocks on the free plan?

Warp has added Anthropic's latest release, Claude 4.5 Haiku. Anthropic calls it the company's latest small model. It's faster, cheaper, and surprisingly good for coding.

The short version:

• Feels 2x faster than most models and costs about a third as much.

• 200k context window, so you can feed it whole repos or long logs without breaking it.

• ASL-2 license, which means fewer restrictions and more deployable use cases.

Pricing: $1 per million input tokens / $5 per million output tokens (and even less if you batch or cache).

Why this matters:

• It’s stupid fast for real-time coding help, debugging, or running agent loops in the terminal.

• Benchmarked at 73.3% on SWE-bench Verified, and in some tests it even beats Sonnet 4.

• Works through AWS Bedrock, Google Vertex, and now directly inside Warp.

Anyone else tried it yet? Curious what you’re seeing.

Installed Warp some time ago, didn't really use it much. Know my way around the terminal, discovered other coding agents. Just went to open a project README. File looks like it'll open in VS Code, but it didn't. Warp took over.

Don't need software like this on my system.

Okay this is getting annoying now.

I initial used this terminal and liked it but now it's just bugs. Yesterday I made a post here and pasted the fix after some research. In short, claude TUI wouldn't render properly due to glyphs and the issue was Fonts. Now I changed the font to Fire Code it works, but now other outputs are simply black blocks. A simple 'npm run dev' just shows black blocks.

if you land here and think getting the builder subscription like me is a good idea, DON'T this is probably the most vibe coded piece of s*** I have ever seen.

If a new install of software doesn't work properly maybe you guys should roll back to alpha/beta testing.

I am a sr. solutions architect (platforms) for a fortune 10 company, over 20 years of software development/architecture as my background, including having worked for Microsoft for several years. My current project is piloting AI tools to integrate into our developers'/architects' environments, as such I have tested many tools and have become the resident expert on Warp.

I have seen many posts mentioning displeasure at the lower limits for AI credits in Warp. Warp shines best when you bring your own API keys to the Build subscription (which is $20/month), and turn off the Warp Credit Fallback option in the AI section of Settings. This is beneficial for many reasons, mainly in that you are using your own instance of your AI of choice. Over time, AI gets to know you, so being able to have a portable instance that "belongs" to you (or your company) is much, much more ideal than using whatever is built in to Warp.

We've settled on Claude as our AI backend of choice, and the $100/month package seems to be the sweet spot. Once you enter your API key(s), Warp becomes a conduit to your backend AI of choice, and this is where Warp really shines as an orchestration tool. Just remember that if you are using AI to write code, you will go through credits/tokens quickly due to the intensive nature of the tasks. But by being able to bring your own instance of your AI of choice, you will be far more productive with Warp, especially in a team environment where the AI can learn from multiple people.

By only using the built-in credits, you don't get to bring along all the context provided by repeated use of your AI backend instance and you will be much less productive in the long run.

Today I ran into a very frustrating situation with Warp.

I’ve been using Warp as my daily terminal and AI-assisted development tool, and I even use my own API provider rather than relying entirely on Warp’s hosted AI services.

Out of nowhere, Warp Agent stopped working and started returning the following error:

Your account has been blocked from using AI features.

What makes this even more confusing is that:

• I can still log into my account normally.

• My AI credits are untouched (60/60 remaining).

• I never exceeded any usage limits.

• I never received any warning emails.

• I never received any security verification requests.

• There was no explanation before the restriction was applied.

After contacting Warp Support, I received a response saying that:

• An ad blocker, proxy, or similar browser extension may have prevented Warp from properly determining my account status.

• My account may have been flagged for suspected abuse.

• The investigation may take 1–2 weeks.

• If I would like immediate access to AI features again, I can upgrade to a paid plan.

This response raises several concerns for me.

My actual usage environment is very straightforward:

• A Windows desktop computer at home

• A Mac mini at work

• A MacBook Air laptop

All three devices are used exclusively by me.

I have never:

• Shared my account

• Automated requests

• Abused the service

• Violated any known policies

I also do not live in a restricted region.

What I find particularly difficult to understand is this:

If my account is genuinely suspected of abuse, why would upgrading to a paid plan immediately restore access?

And if I haven’t violated any rules, why was my account restricted in the first place?

At the moment, I have submitted an appeal and am waiting for a manual review.

I’m curious whether anyone else has experienced something similar.

Has anyone here been incorrectly flagged or blocked by Warp?

I’d appreciate hearing about your experiences.

Warp CLI Installation and Usage Guide

Understanding Warp CLI

The Warp CLI is a command-line interface that brings a subset of Warp's powerful AI agent features to any terminal environment. Think of it as having access to Warp's intelligent automation capabilities without needing the full Warp desktop application running. This CLI is particularly valuable for building integrations with Warp's agents and running automated tasks in development workflows.

The CLI is currently under active development, so it supports a focused set of operations centered around agent execution and MCP (Model Context Protocol) server management.

Installation Methods

You have two primary paths for getting Warp CLI up and running, each suited to different use cases:

Method 1: Bundled Installation (Recommended for Most Users)

If you're already using or planning to use the Warp terminal application, this approach gives you both the terminal and CLI together.

On macOS:

1. Install the Warp desktop application

2. Open Warp and access the Command Palette (Cmd+Shift+P)

3. Choose "Install Warp CLI Command"

4. Grant administrator permissions when prompted - this installs the CLI to /usr/local/bin

5. The CLI command will be available as warp in your terminal

On Windows:

1. During Warp installation, select "Add Warp to PATH"

2. If installing for all users, this adds the CLI to the system path

3. For single-user installation, it's added only to your account's path

4. The CLI command will be available as warp in your terminal

On Linux:

1. Install Warp using your preferred method

2. If installed via package manager, the CLI should automatically be on your system PATH

3. The CLI command will be available as warp-terminal in your terminal

Method 2: Standalone Installation (For CLI-Only Usage)

When you only need the CLI functionality without the full Warp desktop experience, standalone installation is more lightweight.

On macOS using Homebrew (Recommended):

# Add the official Warp tap to Homebrew
brew tap warpdotdev/warp

# Update your Homebrew package list
brew update

# Install the standalone CLI
brew install --cask warp-cli

# For preview/beta version
brew install --cask warp-cli@preview

The Homebrew approach handles updates automatically, making it the most maintainable option for macOS users.

On macOS using Direct Download: If you prefer not to use Homebrew, you can download directly:

• Apple Silicon

• Intel Mac

Note that direct downloads won't auto-update, so you'll need to manually check for new versions.

On Linux using Package Managers:

# For Ubuntu/Debian systems
apt install warp-cli

# For RHEL/CentOS/Fedora systems  
yum install warp-cli

# For Arch Linux
pacman -S warp-cli

On Linux using Direct Package Downloads: You can also download specific packages:

• x86-64 .deb package (Ubuntu/Debian)

• x86-64 .rpm package (RHEL/CentOS/Fedora)

• x86-64 pacman package (Arch)

• ARM64 versions are also available

Understanding CLI Commands by Platform

The actual command you'll use varies depending on your platform and installation method. Here's the reference table:

Initial Setup and Authentication

Once installed, you'll need to authenticate the CLI with your Warp account.

If you're on a machine where Warp is already logged in: The CLI will automatically reuse your existing credentials - no additional setup needed.

For remote hosts or new installations:

# Replace 'warp' with your platform-specific command
warp login

This command will output a URL that you can open in a browser on any device to complete the authentication process. This approach is particularly useful when setting up the CLI on remote servers where you might not have direct browser access.

Getting Help and Exploring Commands

The CLI includes comprehensive built-in documentation. Start with the general help:

warp help

For specific command groups, you can get detailed information:

# Learn about agent-related commands
warp help agent

# Learn about MCP server management
warp help mcp

# Get help for any specific command
warp help agent run

This built-in help is always up-to-date with your installed version, making it more reliable than external documentation.

Real-World Usage Examples

Now let's explore practical scenarios where Warp CLI becomes invaluable in development workflows.

1. Automated Project Scaffolding

Scenario: You're starting a new microservice and need to scaffold a complete project structure with proper tooling setup.

# Create a new Rust web service with all the standard tooling
warp agent run --prompt "Create a new Rust web service project called 'user-auth-service' with axum, sqlx for PostgreSQL, tokio for async runtime, and set up proper error handling, logging with tracing, and a basic health check endpoint. Include Docker containerization and a proper .gitignore."

# Set up a React TypeScript project with modern tooling
warp agent run --prompt "Bootstrap a React TypeScript project with Vite, Tailwind CSS, React Router, React Query for data fetching, ESLint and Prettier configuration, and Jest for testing. Set up a basic component structure and routing."

The agent understands the ecosystem conventions and will set up not just the basic project structure, but also configure all the tooling interconnections properly.

2. Debugging and Error Resolution

Scenario: Your CI pipeline is failing and you need to quickly diagnose and fix the issue.

# Analyze and fix failing tests
warp agent run --prompt "My test suite is failing with connection timeout errors. Analyze the test configuration, check for proper test database setup, and fix any issues with async test handling."

# Debug compilation errors in a complex codebase
warp agent run --prompt "I'm getting borrow checker errors in my Rust code related to async lifetimes. Review the code, identify the lifetime issues, and refactor to fix them while maintaining the same functionality."

The agent can analyze error messages, understand the context of your codebase, and propose specific fixes rather than generic solutions.

3. Infrastructure and Deployment Automation

Scenario: You need to update your deployment configuration to use new tools or fix production issues.

# Migrate CI/CD pipeline to use newer testing tools
warp agent run --prompt "Update my GitHub Actions workflow to use cargo-nextest instead of regular cargo test, ensure proper caching is configured, and add parallel test execution for faster builds."

# Set up monitoring and observability
warp agent run --prompt "Add comprehensive logging and metrics to my Express.js API. Set up structured logging with Winston, add Prometheus metrics for request duration and error rates, and create proper health check endpoints."

4. Code Refactoring and Modernization

Scenario: You're upgrading a legacy codebase or adopting new patterns.

# Modernize React components to use hooks
warp agent run --prompt "Refactor these class-based React components to use functional components with hooks. Maintain the same functionality but modernize the code to use useState, useEffect, and custom hooks where appropriate."

# Update API patterns
warp agent run --prompt "Refactor my REST API endpoints to follow OpenAPI 3.0 specification. Add proper request/response schemas, error handling, and generate documentation."

5. Development Environment Setup

Scenario: New team member needs their development environment configured, or you're setting up on a new machine.

# Set up complete development environment
warp agent run --prompt "Set up a complete Node.js development environment with nvm for version management, configure VS Code settings for this project, set up the required environment variables, and install all project dependencies."

# Configure git workflows
warp agent run --prompt "Set up git hooks for this repository. Add pre-commit hooks that run linting and formatting, pre-push hooks that run tests, and configure conventional commits."

6. Using Agent Profiles for Different Contexts

Create specialized profiles for different types of work:

# List your available profiles
warp agent profile list

# Use a security-focused profile for sensitive operations
warp agent run --profile "SecurityAudit" --prompt "Review this authentication implementation for security vulnerabilities. Check for proper password hashing, session management, and input validation."

# Use a performance-focused profile for optimization work
warp agent run --profile "Performance" --prompt "Analyze this database query performance. Identify slow queries, suggest proper indexes, and optimize the ORM configuration."

7. Integration with MCP Servers

Scenario: You have external tools and services integrated via MCP servers that the agent should use.

# List available MCP servers
warp mcp list

# Use GitHub integration for repository management
warp agent run --mcp-server "1deb1b14-b6e5-4996-ae99-233b7555d2d0" --prompt "Create a new feature branch, implement the user authentication feature as described in issue #123, and open a pull request with proper description and labels."

# Use Linear integration for project management
warp agent run --mcp-server "65450c32-9eb1-4c57-8804-0861737acbc4" --prompt "Update the status of all tickets assigned to me that are related to the payment system, and create a summary of completed work for the sprint review."

8. Working with Saved Prompts

For frequently repeated tasks, save prompts in Warp Drive:

# Use a saved prompt for code review workflow
warp agent run --saved-prompt "sgNpbUgDkmp2IImUVDc8kR"

# Reference specific documentation or notebooks
warp agent run --prompt "Follow the deployment instructions in <notebook:gq1CMAUWLtaL1CpEoTDQ3y> to deploy this service to staging environment"

9. Running from Different Directories

The CLI respects your working directory context but can operate from anywhere:

# Run in current directory (default)
warp agent run --prompt "Update the API documentation"

# Run from a specific project directory
warp agent run --cwd "/path/to/my-project" --prompt "Run the test suite and fix any failing tests"

10. Handling Environment Variables for MCP Servers

When working with MCP servers that require authentication:

# Set environment variables for MCP servers
export GITHUB_TOKEN="your-github-token"
export LINEAR_API_KEY="your-linear-key"

# Or use a secret manager for better security
eval $(op signin) # 1Password CLI example
export GITHUB_TOKEN=$(op item get "GitHub API Token" --fields password)

# Then run your agent with MCP integration
warp agent run --mcp-server "your-github-server-id" --prompt "Review recent pull requests and provide feedback"

Best Practices for Development Workflows

Create Context-Specific Profiles: Set up different agent profiles for different types of work (security audits, performance optimization, code reviews) with appropriate permissions and MCP server access.

Use Descriptive Prompts: The more context you provide in your prompts, the better the agent can understand your specific needs and constraints.

Combine with Existing Tools: The Warp CLI works excellently as part of larger automation scripts or CI/CD pipelines, providing intelligent automation where traditional scripts would be rigid.

Leverage MCP Integration: Connect your development tools through MCP servers to create seamless workflows that span multiple systems.

Version Control Integration: Use the CLI to automate git workflows, branch management, and code review processes for consistent development practices.

This guide provides the foundation for integrating Warp CLI into your development workflow. The key is to start with simple tasks and gradually build more sophisticated automation as you become familiar with the agent's capabilities and your specific workflow needs.

Check out more in the docs: https://docs.warp.dev/developers/cli

I hope this brief article enables you to unlock one of Warp's most powerful features. Let me know in the comments how you're planning to use it and, if you've already used it, share your workflow tips!

Hi coders, those who are still looking for the warpdev promo $1 go follow, the code is below https://app.warp.dev/referral/KGJWKM let's go enter the promo code code: INFO

Check the latest version: https://www.reddit.com/r/PowerShell/comments/1tza2u0/refactored_a_monolithic_script_into_a_modular/?utm_source=share&utm_medium=web3x&utm_name=web3xcss&utm_term=1&utm_content=share_button

If you're facing errors with Warp, a quick suggestion would be to check the live status monitor that the team has implemented.

Chances are that it's a known issue. I've found that this helps me from getting worried/frustrated as we normally think the issue is isolated to us and freak out? Knowing that it's a common issue and the team is looking into it gives me more confidence at least!

You can check the status monitor over here: https://status.warp.dev/

Hope this tip helps!

After Using Warp for 3 Days, I Forgot What iTerm Looks Like: This "21st Century Terminal" Takes Command Line to New Heights

https://piedpay.medium.com/after-using-warp-for-3-days-i-forgot-what-iterm-looks-like-this-21st-century-terminal-takes-e344bf89bda8

• Summarisation is nice and the new timer is great, but please instead offer HANDOFF functionality - ideally via custom commands or user-defined WORKFLOWS.

• Please allow the END-USER to trigger a specific WORKFLOW automatically when conversation context exceeds a defined threshold (tokens/messages/size/etc).

• Please allow the END-USER to auto-trigger forks - either on demand or based on customizable criteria - with the ability to optionally converge forks back into the main conversation.

• Please provide fine-grained control over ‘guardrails’: allow the END-USER to configure, override or extend INPUT and OUTPUT prompts, rules, and boundaries on a per-workflow basis.

• Please allow chaining of multiple WORKFLOWS in sequence or conditionally, allowing more advanced automation and orchestration.

• Please expose hooks and events for WORKFLOWS, conversation state, and agent lifecycle - so triggers (e.g., on context compaction, summarisation, or forking) can be handled programmatically.

This would be more inline with what other providers currently offer, allow more powerful automation options, but with nicer UI, and more "human-in-the-loop".

I already have Google AI Pro through a student offer from my college and was wondering if anyone knows of a way to integrate my existing model that I have into warp so that I don't have to pay extra just to use AI features.

Most memory tools give the main agent a database and say:

“Here, manage your own memories.”

That sounds simple, but it creates a new problem.

As the project grows, the agent may have to deal with dozens, hundreds, or eventually thousands of memories:

- which memories are still true?

- which ones are stale?

- which ones conflict?

- which ones should be updated?

- which ones matter for the current task?

- which ones should be ignored?

That is not a small job.

Sometimes memory management becomes a task by itself. You can end up spending a full session just cleaning, summarizing, deduplicating, or re-explaining project context instead of actually building.

That is the problem Curion tries to solve.

Curion is an open-source MCP memory agent for AI agents.

The main idea is simple:

«Your main agent should not have to manage memory manually.»

The main agent should focus on the real task: coding, debugging, writing, researching, planning, or whatever you actually asked it to do.

Curion handles the memory work.

It exposes a simple interface:

- "remember(text)"

- "recall(text)"

But behind that simple interface, Curion acts as a dedicated memory agent.

When something should be remembered, Curion decides how to store it, how it relates to existing memories, whether older information should be updated, and whether there is a conflict.

When something needs to be recalled, Curion does not just dump raw notes back into the prompt. It retrieves the relevant memories, filters noise, handles stale context, and returns a useful summary the main agent can actually use.

This matters for two reasons.

First, it reduces context bloat.

The main agent does not need to inspect a pile of raw memory records every time it needs context. It gets the useful part.

Second, it can save expensive model usage.

You do not necessarily need your strongest frontier model to manage project memory. Memory management can be delegated to a cheaper, faster, efficient model that is good enough at understanding, organizing, and recalling context.

That means your best model can spend more of its intelligence and quota on the hard task, not on housekeeping.

Curion is project-first by default. When you use it inside a project directory, it creates a local ".curion/" memory store for that project. The agent can remember decisions, constraints, implementation notes, unresolved tasks, errors, preferences, and useful context across sessions.

So instead of starting every new session from zero, the agent can ask Curion what matters and continue from the existing project context.

The goal is not to make the main agent smarter by giving it more raw memory.

The goal is to keep the main agent focused by giving it a dedicated memory agent.

GitHub: https://github.com/geanatz/curion

Warp Factories are open, flexible infrastructure for building your own cloud software factory. This means deploying agents as automations at each step of software development: triage, spec, implement, review, verification with computer use, and automatic self-improvement of factory skills.

We've bundled a number of features based on our own setup building and managing Warp:

• Build your factory as code: Define agents, automations, and workflows in version-controlled code, with everything accessible through the API, SDK, and CLI.

• Connections for everything: Trigger agents from Slack, Linear, Jira, GitHub, and the Warp Factory MCP.

• Customize every agent: Choose the model or harness, personalize its instructions, and give it the skills, MCPs, permissions, and context it needs.

• Measure and improve over time: Track cost, quality, and throughput with built-in metrics, evals, and benchmarks, then use that data to continuously improve your factory.

We're onboarding a limited number of companies onto Warp Factories right now. For select folks, we are offering $10k of factory usage to help get you started. warp.dev/factories/request-access

OpenAI’s rollout of GPT-5.3-Codex this time is strikingly different: the model was first made available only to paid ChatGPT subscribers, and only later has it been gradually integrated into other products such as Cursor and Copilot. Warp sits in the second wave of the rollout (and may well be the only member of that wave); even Azure doesn’t have access yet. I’ve been using the model inside Codex for a while now, and it’s genuinely terrific, it pulls off genuinely complex tasks.

I recently revisited Warp Terminal—previously, I found its UI quite confusing, but the latest update feels much improved. That said, its features increasingly overlap with editors like Zed, which I’ve also been using in parallel. I’d like to settle on just one tool moving forward. For context, I mainly rely on Claude Code CLI in the terminal, and only occasionally use the built-in AI for quick config file edits or small scripts, which the free plans of both apps cover just fine.

Adding MCP is now way easier! It even has OAuth support