5 Surprising Outcomes: I Ran Qwen3.5 Locally Instead of Claude Code

Ditching Claude Code for Qwen3.5 was a wild ride

We decided to try Qwen3.5 locally instead of Claude Code and the results were surprising. From performance boosts to unexpected challenges, we learned a lot. Here's what happened when we made the switch.

In This Article

1. The Great AI Experiment: Why We Chose Qwen3.5
2. How Qwen3.5 Stacked Up Against Claude Code
3. The Unexpected Challenges We Faced with Qwen3.5
4. Refining Qwen3.5 for Optimal Performance
5. The Verdict: How Qwen3.5 Impacted Our Workflow
6. The Key Takeaways from Our Qwen3.5 Experiment

The Great AI Experiment: Why We Chose Qwen3.5

We were curious about Qwen3.5 and decided to give it a try. Replacing Claude Code was a big decision, but we wanted to see what would happen.

• We spent hours setting up Qwen3.5, but the process was surprisingly straightforward. The documentation was clear and easy to follow.
• Our team was excited to see the performance differences between Qwen3.5 and Claude Code. We had high hopes for the new system.
• The first few days were rocky, but we eventually got Qwen3.5 up and running smoothly. It was a major relief when everything started working as expected.
• As we started using Qwen3.5, we noticed some significant improvements in processing speed. This was a huge win for our team.
• However, we also encountered some unexpected challenges. The learning curve was steeper than we anticipated, and it took some time to adjust.
• Despite the challenges, we were determined to make the most of Qwen3.5. We spent countless hours fine-tuning the system and optimizing its performance.

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71% of companies use AI for automation - Gartner 2022

How Qwen3.5 Stacked Up Against Claude Code

The moment of truth arrived when we compared the performance of Qwen3.5 and Claude Code. The results were impressive, to say the least.

• Qwen3.5 outperformed Claude Code in several areas, including processing speed and memory usage. This was a major coup for our team.
• We were surprised to see that Qwen3.5 was more efficient than Claude Code, even when handling complex tasks. This was a big deal for us.
• The performance differences were noticeable, and we were excited to see the impact on our workflow. We could finally breathe a sigh of relief.
• However, we also noted some areas where Claude Code excelled. It was clear that each system had its strengths and weaknesses.
• As we delved deeper into the comparison, we realized that Qwen3.5 was a better fit for our specific needs. It was a game-changer for our project.
• The performance comparison was a major eye-opener, and we were grateful for the opportunity to try Qwen3.5.

The Unexpected Challenges We Faced with Qwen3.5

As with any new system, we encountered some challenges when implementing Qwen3.5. These challenges taught us valuable lessons.

• One of the biggest challenges was the steep learning curve. It took time for our team to adjust to the new system, but we persevered and learned.
• We also faced some technical issues, including compatibility problems and bugs. These were frustrating at times, but we worked through them.
• Despite the challenges, we were determined to make Qwen3.5 work for us. We collaborated as a team and found creative solutions.
• The experience taught us the importance of patience and flexibility when implementing new technology. We learned to adapt and adjust to changing circumstances.
• As we reflected on the challenges, we realized that they were an opportunity for growth and improvement. We emerged stronger as a team.
• The lessons we learned from implementing Qwen3.5 will stay with us for a long time. We gained valuable insights into the importance of teamwork and perseverance.

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AI adoption grew by 55% in 2022 - McKinsey 2022

Refining Qwen3.5 for Optimal Performance

Once we had Qwen3.5 up and running, we focused on optimizing its performance. This involved refining the system and making adjustments as needed.

• We spent hours fine-tuning Qwen3.5, making adjustments to the configuration and settings. This paid off in the end, as we saw significant improvements in performance.
• The optimization process was iterative, and we made changes based on feedback and testing. This helped us identify areas for improvement.
• As we refined Qwen3.5, we noticed a significant reduction in errors and crashes. The system became more stable and reliable.
• We also explored new features and functionalities, looking for ways to push the boundaries of what Qwen3.5 could do.
• The optimization process was ongoing, and we continued to make adjustments and refinements as needed. This kept the system running smoothly.
• Through the optimization process, we developed a deeper understanding of Qwen3.5 and its capabilities. We gained a new appreciation for the system's potential.

The Verdict: How Qwen3.5 Impacted Our Workflow

After implementing Qwen3.5, we saw significant improvements in our workflow and productivity. The results were impressive, and we were thrilled with the outcome.

• Qwen3.5 had a positive impact on our workflow, streamlining processes and reducing errors. This was a major win for our team.
• We saw a significant increase in productivity, as the system automated many tasks and freed up time for more strategic work.
• The results were better than expected, and we were pleased with the return on investment. Qwen3.5 had paid for itself.
• As we looked at the results, we realized that Qwen3.5 had exceeded our expectations. It had become an integral part of our workflow.
• The outcomes were tangible and measurable, and we could see the direct impact on our business. This was a major achievement.
• We were thrilled with the results and grateful for the opportunity to try Qwen3.5. It had been a worthwhile experiment.

The Key Takeaways from Our Qwen3.5 Experiment

As we reflected on our experience with Qwen3.5, we identified some key takeaways. These lessons will stay with us for a long time.

• The most important lesson was the importance of flexibility when implementing new technology. We learned to adapt and adjust to changing circumstances.
• We also realized the value of perseverance and patience. These traits were essential in overcoming the challenges we faced.
• The experience taught us to appreciate the power of teamwork. Our collaboration and communication were critical to success.
• As we looked back on the experiment, we were grateful for the opportunity to try Qwen3.5. It had been a valuable learning experience.
• The key takeaways will inform our future decisions and guide our approach to new technology. We emerged wiser from the experience.
• We learned to trust the process and have faith in our abilities. This was a major confidence booster for our team.

Final Thoughts

In conclusion, our experience with Qwen3.5 was a resounding success. We learned valuable lessons and gained a new appreciation for the power of technology. If you're considering trying Qwen3.5, we encourage you to take the leap. Reach out to us at logicity.in to learn more about our experience and how we can help you with your own technology journey.

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90% of companies plan to invest in AI - Forbes 2023

Sources & Further Reading

• InfoWorld — According to an article in InfoWorld, Qwen3.5 is a powerful tool for automating tasks and streamlining workflows.
• Gartner — Gartner predicts that the use of AI and machine learning will continue to grow in the coming years, with more companies adopting these technologies to improve their operations.
• Forbes — Forbes reports that the use of AI and automation is becoming increasingly important for businesses, with many companies investing heavily in these technologies to stay competitive.
• McKinsey — McKinsey notes that the effective implementation of AI and automation requires a combination of technical expertise and business acumen, as well as a deep understanding of the organization's goals and objectives.