Exploring Local AI Development: A Journey at 40,000 Feet
Curious about local AI coding, I embarked on a unique experiment during a seven-hour flight with no internet. My goal? To explore the potential of offline AI development while avoiding boredom.
Key Takeaways:
- Startup Environment: Initiated a basic Next.js project using familiar tools like TailwindCSS and Zod.
- Trial and Error: Only succeeded with gpt-oss and OpenCode; local setups proved challenging yet rewarding.
- Performance Insights:
- Coding was 4-5x slower than cloud platforms.
- Energy consumption was a concern; the flight’s power supply struggled to keep up.
Despite these challenges, I built a functional app for tracking subscriptions. While local AI coding is promising, it’s clear we’re on a long path:
- Viable, but Early Days: Suitable for simple projects, yet efficiency and hardware support require improvement.
- Future Potential: As models evolve, the viability of local coding increases.
Ready to jump into local AI coding? Share your experiences and insights below! Let’s spark a conversation! 🚀
