
Warp's new agentic development environment helps developers work with AI coding agents
The startup Warp is best known for its modern, AI-empowered take on the terminal—the decades-old, text-based interface that's invisible to most in a world of touchscreens and mice, but still beloved by programmers and system administrators.
The terminal is probably most familiar to the public from movies and TV shows, where its stark black background and arcane command-line language have come to symbolize hacker prowess. Warp added features that make the terminal and its often-cryptic commands less intimidating and easier to use, such as AI-enhanced autocomplete and suggestions, along with a collaborative system called Warp Drive that lets coworkers share frequently used commands and best practices.
Now, Warp is betting that a similar kind of interface will help developers command artificial intelligence, in a world where code is increasingly generated and deployed by typing prompts to AI rather than writing it directly.
'We're moving from a world where developers traditionally have done most of their work by hand to one where they're doing their work by prompt with agents,' says Zach Lloyd, Warp's founder and CEO.
Traditionally, developers have worked in an integrated development environment (IDE), which combines tools for navigating files, specialized text editing tabs for writing code, and easy access to tools that compile human-readable code into something computers can run. They've also often used terminal software like Warp's—or more basic versions—to deploy code to servers, start automated processes, and troubleshoot errors.
But today, coders increasingly perform these tasks by issuing prompts to AI agents, which can generate code, execute commands to deploy it, and even diagnose problems on their own.
'Our thesis is that to support this new workflow, what is needed is a workbench that really is neither the IDE or the terminal,' Lloyd says.
That's why Warp is launching what it calls an agentic development environment—a new class of tool that emphasizes terminal-style panes or tabs for typing prompts to AI agents, along with controls to help supervise the AI's operations. These controls regulate when AI agents need human approval to make changes to code or restrict them from executing certain commands—such as deleting files—without explicit permission. Power users can open multiple tabs to interact with various agents, powered by AI from labs like Anthropic and OpenAI, and can monitor and guide them as they work—similar to how developers have always invoked command-line tools from the terminal. AI agents can also execute terminal commands themselves under user supervision, useful for everything from managing cloud computing servers to debugging error messages.
An enhanced version of Warp Drive even allows users to share information with AI agents as well as with human coworkers.
'We've made this investment even before LLMs of, how do you centralize the team's knowledge,' says Lloyd. 'And that's super valuable for an agent to access as well.'
Since AI is still far from infallible, users can easily edit AI-generated code changes—called diffs (short for differences, in developer jargon)—before approving them, or re-prompt the AI to correct errors. Individual Warp users can choose whether to operate entirely via prompts, or to open more traditional panes to edit code line by line, review AI changes, or use the classic Warp terminal.
Lloyd says that integrating all of these features into a single AI-centric environment gives Warp an edge over other AI development tools like Cursor and Windsurf, which focus primarily on writing code. And by building a complete development environment—including coding and terminal tools—Warp has an advantage over Anthropic's Claude Code, which operates from within a terminal, he says.
'We are one layer outside of that, so we can be the whole agentic development environment, which means that we can do things in terms of the user experience that they just simply can't do,' Lloyd says. 'We can have diffs editable, we can do system notifications, we can have a UX for managing agents across all your panes and tabs.'
Warp, which already has more than 500,000 users, plans to keep pricing the same as it rolls out these new features, with plans starting at $15 and $40 per month, alongside a limited free version and custom pricing for enterprise editions. Lloyd says revenue is growing fast—between 5% and 15% per week during 2025—and he's optimistic that trend will continue as developers look for tools to efficiently steer and collaborate with AI coding agents.
'It just is cool that that interface that we built for doing this with commands works extremely well for agents,' he says.

Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles


Forbes
4 minutes ago
- Forbes
Surging Investments in AI Are Transforming Cybersecurity
Human Digital Avatar as a Symbol of AI presses a virtual button on screen with Shield icon. Cyber ... More Security and Data Protection Concept. AI is transforming cybersecurity, and investments are following in close concert with those trends. AI systems seek to replicate human traits and computational capabilities in a machine and surpass human limitations and speed. Elements of AI emergence consist of machine learning and natural language processing. Today, AI can understand, diagnose, and solve problems from both structured and unstructured data—and in some cases, without being specifically programmed. AI is becoming integral in cybersecurity, and companies are logically investing in AI-based defenses against cyberattacks, and the demand for them is expected to grow in the next few years. AI offers a logical collection of tools and the best chance for defenders that work in an environment characterized by an uneven threat level and are already short on workforce and money. The demand for AI is growing due to expanded risks and threats to enterprises. This is unambiguous evidence that AI is becoming increasingly important in cybersecurity, and organizations must capitalize on its potential to remain competitive. The global market for AI in cybersecurity is surging. McKinsey & Company predicts a $5 to $7 trillion potential economic impact by this year. McKinsey says that AI is making the $2 trillion cybersecurity market even larger. In the first quarter of 2024, venture capital financing for cybersecurity firms, particularly those focused on AI security solutions, experienced significant growth. According to figures from Crunchbase, startups raised over $2.7 billion in 154 deals. From January 1 to May 5, 2024, private equity and venture capital firms said they will spend $8.1 billion on cybersecurity companies. That's a 91% rise from the same time in 2023, when it was $4.46 billion. Major cybersecurity investments in 2024 The sums invested are going up for a solid reason. Eighty-eight percent of cybersecurity specialists said that AI will be needed to make security tasks more efficient. The Real-World Impact of AI on Cybersecurity Professionals And 62% of businesses are using or looking into AI for cybersecurity. Cybersecurity professionals have mixed feelings about AI: 93% are afraid of threats from AI, while 69% think it is the answer. In the next several years, AI's ability to change things is likely to have a big effect on the industry. 33+ AI in Cybersecurity Statistics for 2025: Friend or Foe? 'The promise of these technologies is very exciting. Microsoft UK's chief envisioning officer Dave Choplin claimed that AI is 'the most important technology that anybody on the planet is working on today.' R&D and investments are a good barometer of what lies ahead in future technological developments. Microsoft Exec: 'AI Is the Most Important Technology That Anybody on the Planet Is Working on Today' - Business InsiderLock sign SMART CYBERSECURITY AI has much to offer cybersecurity, both in terms of new features and in terms of improving defensive operations in contexts where threats are present. As sensors and algorithms come together, automated cybersecurity solutions for threat detection, information assurance, and resilience may be what keeps businesses safe while they make the most of innovative technology. The overall IT perimeter for many enterprises and institutions is now more intricate and spread out because of on-premises systems, cloud computing, and edge computing. This means that threat detection, analysis, and incident response need to be better, and there has to be greater visibility. This element is an important part of smart cybersecurity. Smart cybersecurity can find, filter, neutralize, and fix cyber threats. It has a lot of potential. AI tools for threat intelligence and network surveillance can help make cybersecurity better. Generative AI (GenAI) algorithms might use predictive models more effectively in cybersecurity, which would result in better security data and better outcomes. Gen AI might be able to apply predictive models in cybersecurity in a way that works better, giving better results and more trustworthy security data. AI agents and GenAI could work together to suggest ways to reduce risk and improve businesses and organizations' cybersecurity expertise and incident response. Generative AI can quickly find useful information, the best ways to do things, and proposed actions from the body of knowledge in the security business. Also, Agentic AI-enabled cybersecurity has a lot of potential for finding, blocking, stopping, and fixing cyberthreats. Agentic AI can help with the main problems of threat detection, reaction speed, and analyst workload. These technologies automate tasks while still allowing human monitoring, which makes security teams work better in a more dangerous digital world. With enhanced analysis of background information, practitioners can quickly figure out what kind of attack it is and what they should do next. This factor alone can shorten the time that bad actors spend on a site from days to just minutes, which is a significant plus for cyber defenders. Smart algorithms can be applied to monitor the network for anomalous behavior, find new dangers that don't have visible signs, and take the right steps. It can also be used to compare data from different silos to figure out network risks and weaknesses, and the methods of attacks that are happening. Identity and access management are an important part of zero trust cybersecurity. AI could help by validating the accuracy of data across numerous remote databases. To protect digital convergence, AI will need to be used in cybersecurity defenses and the development of next-generation cyber capabilities, such as predictive security and analytics. AI will be able to improve cybersecurity in areas like Data Loss Prevention (DLP), data privacy and identity governance, data access restrictions, risk assessment, and managing the security posture of data for data discovery and categorization. Cybersecurity and AI are key areas of focus in the emerging digital ecosystem. These AI and computing technology tools can also contribute to advancements in various fields, including genetic engineering, augmented reality, robotics, renewable energies, big data, digital security, and quantum computing. Get ready for an innovative and exciting, but potentially precarious ride.


CNBC
29 minutes ago
- CNBC
3 forces driving a record week for stocks as 7 portfolio names hit new highs
It's been a week of records for the U.S. stock market — and for several stocks in the CNBC Investing Club's portfolio. The S & P 500 jumped to an all-time high of 6,187.68 Friday, while the tech-heavy Nasdaq Composite rose to a new record of 20,311.51. Both benchmark gauges advanced around 4% from last Friday's close. These milestones cap off a remarkable comeback for financial markets since April. Stocks were pummeled by President Donald Trump's "reciprocal" tariff announcement on April 2 as Wall Street panicked over what higher levies would mean for economic growth and geopolitical relations. The S & P 500 has jumped 24% since its 2025 lows on April 8 despite lingering uncertainty on three fronts: the administration's trade policies, the Federal Reserve's next monetary policy move and the ongoing conflict in the Middle East. That rebound in equities has lifted seven Club holdings to all-time highs, including Nvidia, Microsoft , Broadcom , GE Vernova , Capital One , Goldman Sachs and CrowdStrike . The outperformances highlight many of the driving forces of the stock market. In fact, we see three key themes: 1. The generative artificial intelligence trade is back. Wall Street had feared a slowdown in AI spending as U.S.-China tensions threatened semiconductor production and demand. Investors have since brushed off this uncertainty, which stemmed from tariffs and Trump's chip export controls . That's, in part, because of a slew of good news from AI behemoths like Nvidia, which hit a record of over $158 apiece on Friday as the stock heads for a five-day win streak. The recent gains have raised Nvidia's market cap to $3.8 trillion, making it the most valuable publicly-traded company in the world. A blowout quarterly earnings report in late May indicated demand for the chipmaker's offerings were still strong. Around the same time, CEO Jensen Huang announced a huge deal with startup Humain, which would send 18,000 of its latest artificial intelligence chips to Saudi Arabia. This all helped fellow chipmaker Broadcom as well, which on Friday hit a record of $272 apiece, its latest of several records over the month. That's because the more demand there is for AI chips, the more sales both of these firms can rake in. Another beneficiary of the AI trade are the hyperscalers, the companies that help support the computational power and infrastructure needed for AI. One of those mega-caps, Microsoft, is benefiting because of its huge cloud computing business, Azure, which generates a large portion of its revenues. The stock reached a record high of over $499 on Friday. Club holding GE Vernova has been a recent AI winner, too. GE Vernova supports the build out of the data centers — the power-hungry facilities used to handle the computation demand of AI — with the production of its turbines. The industrial stock has hit a number of highs this year alone, mostly recently on Friday. Shares are up over 61% so far in 2025, compared to the S & P 500's 5%. 2. Investors are turning to defense stocks. Geopolitical conflicts in the Middle East and around the world has companies looking for offerings that can protect them from virtual attacks. The companies, in turn, are seen as safe havens for investors. That's what led cybersecurity names like CrowdStrike to hit a new record on Thursday of $506. Club holding and peer Palo Alto Networks is only 3.5% off its all-time high set back in February. 3. The U.S. economy has been more resilient than expected. Last week, Federal Reserve Chair Jerome Powell described the economy as "still solid" and said the central bank was "well positioned to wait" before cutting interest rates. A resilient economy can lead to a pick up in Wall Street dealmaking such as initial public offerings. That means more companies will tap Goldman's crucial investment banking business to help with their public debuts. Goldman was named the lead underwriter on big-name IPOs like Chime and eToro over the past month alone. The stock hit an all-time high of roughly $694 on Friday. For Capital One, a stable economic environment means lower odds of a consumer spending slowdown, which is good news for the credit card issuer. Investor sentiment has also improved after the company completed its $35 billion acquisition of Discover earlier this month. We've long pounded the table that the deal was a key catalyst for the stock. Shares of Capital One hit a record high Friday of nearly $213 apiece. "I think people should still be buying the stock," Jim Cramer said during Friday's Morning Meeting, adding that Capital One trades at a discount to rivals like American Express. (See here for a full list of the stocks in Jim Cramer's Charitable Trust.) As a subscriber to the CNBC Investing Club with Jim Cramer, you will receive a trade alert before Jim makes a trade. Jim waits 45 minutes after sending a trade alert before buying or selling a stock in his charitable trust's portfolio. If Jim has talked about a stock on CNBC TV, he waits 72 hours after issuing the trade alert before executing the trade. THE ABOVE INVESTING CLUB INFORMATION IS SUBJECT TO OUR TERMS AND CONDITIONS AND PRIVACY POLICY , TOGETHER WITH OUR DISCLAIMER . NO FIDUCIARY OBLIGATION OR DUTY EXISTS, OR IS CREATED, BY VIRTUE OF YOUR RECEIPT OF ANY INFORMATION PROVIDED IN CONNECTION WITH THE INVESTING CLUB. NO SPECIFIC OUTCOME OR PROFIT IS GUARANTEED.


Bloomberg
38 minutes ago
- Bloomberg
Trump Cuts Off Trade Talks With Canada, Threatens to Set Tariff
President Donald Trump said he was ending all trade discussions with Canada after claiming the country moved to implement a digital services tax, and threatened to impose a fresh tariff rate within the next week. 'Based on this egregious Tax, we are hereby terminating ALL discussions on Trade with Canada, effective immediately. We will let Canada know the Tariff that they will be paying to do business with the United States of America within the next seven day period,' Trump posted on social media.