📌 TOPINDIATOURS Hot ai: Claude Code costs up to $200 a month. Goose does the same

The artificial intelligence coding revolution comes with a catch: it's expensive.

Claude Code, Anthropic's terminal-based AI agent that can write, debug, and deploy code autonomously, has captured the imagination of software developers worldwide. But its pricing — ranging from $20 to $200 per month depending on usage — has sparked a growing rebellion among the very programmers it aims to serve.

Now, a free alternative is gaining traction. Goose, an open-source AI agent developed by Block (the financial technology company formerly known as Square), offers nearly identical functionality to Claude Code but runs entirely on a user's local machine. No subscription fees. No cloud dependency. No rate limits that reset every five hours.

"Your data stays with you, period," said Parth Sareen, a software engineer who demonstrated the tool during a recent livestream. The comment captures the core appeal: Goose gives developers complete control over their AI-powered workflow, including the ability to work offline — even on an airplane.

The project has exploded in popularity. Goose now boasts more than 26,100 stars on GitHub, the code-sharing platform, with 362 contributors and 102 releases since its launch. The latest version, 1.20.1, shipped on January 19, 2026, reflecting a development pace that rivals commercial products.

For developers frustrated by Claude Code's pricing structure and usage caps, Goose represents something increasingly rare in the AI industry: a genuinely free, no-strings-attached option for serious work.

Anthropic's new rate limits spark a developer revolt

To understand why Goose matters, you need to understand the Claude Code pricing controversy.

Anthropic, the San Francisco artificial intelligence company founded by former OpenAI executives, offers Claude Code as part of its subscription tiers. The free plan provides no access whatsoever. The Pro plan, at $17 per month with annual billing (or $20 monthly), limits users to just 10 to 40 prompts every five hours — a constraint that serious developers exhaust within minutes of intensive work.

The Max plans, at $100 and $200 per month, offer more headroom: 50 to 200 prompts and 200 to 800 prompts respectively, plus access to Anthropic's most powerful model, Claude 4.5 Opus. But even these premium tiers come with restrictions that have inflamed the developer community.

In late July, Anthropic announced new weekly rate limits. Under the system, Pro users receive 40 to 80 hours of Sonnet 4 usage per week. Max users at the $200 tier get 240 to 480 hours of Sonnet 4, plus 24 to 40 hours of Opus 4. Nearly five months later, the frustration has not subsided.

The problem? Those "hours" are not actual hours. They represent token-based limits that vary wildly depending on codebase size, conversation length, and the complexity of the code being processed. Independent analysis suggests the actual per-session limits translate to roughly 44,000 tokens for Pro users and 220,000 tokens for the $200 Max plan.

"It's confusing and vague," one developer wrote in a widely shared analysis. "When they say '24-40 hours of Opus 4,' that doesn't really tell you anything useful about what you're actually getting."

The backlash on Reddit and developer forums has been fierce. Some users report hitting their daily limits within 30 minutes of intensive coding. Others have canceled their subscriptions entirely, calling the new restrictions "a joke" and "unusable for real work."

Anthropic has defended the changes, stating that the limits affect fewer than five percent of users and target people running Claude Code "continuously in the background, 24/7." But the company has not clarified whether that figure refers to five percent of Max subscribers or five percent of all users — a distinction that matters enormously.

How Block built a free AI coding agent that works offline

Goose takes a radically different approach to the same problem.

Built by Block, the payments company led by Jack Dorsey, Goose is what engineers call an "on-machine AI agent." Unlike Claude Code, which sends your queries to Anthropic's servers for processing, Goose can run entirely on your local computer using open-source language models that you download and control yourself.

The project's documentation describes it as going "beyond code suggestions" to "install, execute, edit, and test with any LLM." That last phrase — "any LLM" — is the key differentiator. Goose is model-agnostic by design.

You can connect Goose to Anthropic's Claude models if you have API access. You can use OpenAI's GPT-5 or Google's Gemini. You can route it through services like Groq or OpenRouter. Or — and this is where things get interesting — you can run it entirely locally using tools like Ollama, which let you download and execute open-source models on your own hardware.

The practical implications are significant. With a local setup, there are no subscription fees, no usage caps, no rate limits, and no concerns about your code being sent to external servers. Your conversations with the AI never leave your machine.

"I use Ollama all the time on planes — it's a lot of fun!" Sareen noted during a demonstration, highlighting how local models free developers from the constraints of internet connectivity.

What Goose can do that traditional code assistants can't

Goose operates as a command-line tool or desktop application that can autonomously perform complex development tasks. It can build entire projects from scratch, write and execute code, debug failures, orchestrate workflows across multiple files, and interact with external APIs — all without constant human oversight.

The architecture relies on what the AI industry calls "tool calling" or "<a href="https://platform.openai…

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🔗 Sumber: venturebeat.com

📌 TOPINDIATOURS Hot ai: Blinking New Warning Sign Appears for AI Industry Terbaru

Investors have been rattled by the enormous amount of money AI companies are committing to spend on infrastructure buildouts. Amazon alone saw its share price drop precipitously earlier this month after announcing that it’s planning to spend $200 billion this year on AI. Microsoft’s shares also plummeted after stoking fears that a return on AI investment may be even further off than expected.

In total, big tech companies are predicted to spend a record-breaking $650 billion on AI in 2026 alone, astronomical commitments that have Wall Street seriously on edge.

Fears over an AI bubble continue to grow as analysts warn that companies are massively overinvesting. According to a new Bank of America survey of 162 fund managers, a significant 35 percent said corporations are overinvesting in capital expenditures — funds used by a company to acquire, upgrade, and maintain physical assets — at a record proportion compared to previous survey results spanning the last 20 years. Only 20 percent said they approved of increasing capital expenditures.

An AI bubble is a clear focus. A full 25 percent of survey respondents said they see the AI bubble as the largest risk — even more so than inflation and geopolitical conflict. And 30 percent said that AI expenditures were the most likely source of a credit crisis.

In short, the survey results paint a dire picture of the current state of the market, blinking warning signs that big tech companies are spreading themselves too thin by continuing to hemorrhage tens of billions of dollars each quarter.

Meanwhile, tech leaders continue to justify their enormous spending, with Google CEO Sundar Pichai touting the present moment as “extraordinary” and “transformational,” during the AI Summit in New Delhi, India, on Wednesday, comparing the AI boom to the industrial revolution, “but ten times faster and ten times larger.”

AI chipmaker Nvidia CEO Jensen Huang also attempted to calm spooked investors this week, arguing AI investments are just the beginning.

But analysts are far less convinced.

“I would say clients are justified in being worried [about an AI bubble] because there’s a lot of uncertainty,” Orbis Investments advisor Ben Preston told the Financial Times.

More on the AI bubble: Investors Concerned AI Bubble Is Finally Popping

The post Blinking New Warning Sign Appears for AI Industry appeared first on Futurism.

🔗 Sumber: futurism.com