MAROKO133 Update ai: Claude Code costs up to $200 a month. Goose does the same thing for f

📌 MAROKO133 Hot ai: Claude Code costs up to $200 a month. Goose does the same thin

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…

Konten dipersingkat otomatis.

đź”— Sumber: venturebeat.com


📌 MAROKO133 Breaking ai: China unveils low-cost electric SUV with 440-mile range,

Chinese automaker BYD is planning to launch the Song Ultra EV, the company’s first B-segment electric SUV under BYD’s Dynasty lineup. Lu Tian, head of sales for BYD’s Dynasty series, shared an update on social media platform Weibo with a blurred image, saying it was “coming soon”.

The model had already featured in China’s Ministry of Industry and Information Technology regulatory approval catalog released last month.

According to the MIIT filing, the Song Ultra EV’s specifications and dimensions have been revealed, indicating the SUV has passed an important regulatory step before its market launch.

Measurements and specs

Starting with measurements, the regulatory filing revealed the Song Ultra SUV is 4,8500 mm in length, 1,910 mm in width, and 1,670 mm in height, with a wheelbase of 2,840 mm. That makes the electric SUV a tad larger than the Song L L DM-i PHEV, which is 4,780 mm long, 1,898 mm wide, and 1,670 mm high.

According to reports, the new crossover SUV has a single front-mounted electric motor delivering a maximum output of 362 hp (270 kW). It will be available with two battery pack options, 75.616 kWh and 82.73 kWh. It offers a CLTC driving range of 389 miles (620 km) and 441 miles (710 km).

The BYD Song Ultra EV will be available in the range of $31,900 to $37,600. In contrast, according to Chinese media outlet Autohome, it is priced at $26,000.

Roof-mounted Lidar

Images shared by Lu Tian show a roof-mounted LiDAR unit built into the vehicle’s design, suggesting the Song Ultra EV will likely include BYD’s “God’s Eye B” advanced driver-assistance system.

According to Electrek, the “God’s Eye B” system is a mid-tier ADAS solution that offers features such as Level 3 capabilities for highway and urban driving and automated parking.

BYD is expected to officially launch the Song Ultra EV in China by late 2026, with the company noting that further details will be announced closer to the release date

Rising to the top

BYD has surged to the top of the global EV market, overtaking Tesla as the world’s largest electric vehicle seller after delivering around 2.26 million EVs in 2025, up nearly 28% year‑on‑year.

The company’s success stems from its vertically integrated model, affordable pricing, and an extremely broad product portfolio that spans compact EVs, premium sedans, and SUVs.

In the luxury segment, BYD’s Yangwang brand has launched the U7 BEV with a 150.01 kWh Blade battery, offering up to roughly 1,006 km CLTC range and quad‑motor performance exceeding 1,280 hp, positioning it as a high‑end rival to ultra‑luxury EVs.

Beyond passenger cars, the automaker has also entered industrial mobility, investing in autonomous electric mining trucks via Boonray and expanding into ride‑hailing with the new Linghui brand, which focuses on fleet‑optimized EVs built on BYD’s proven platforms and Blade Battery technology.

đź”— Sumber: interestingengineering.com


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