Agentic data science with the Data Agent Kit
cloud.google.com·7h ago
Data Science
Simon Willison's Blog·Aug 23·5 min read
Quoting Drew Breunig
TL;DR
Fable has emerged as a powerful coding tool, but its high cost makes alternatives like Opus and Qwen 3.8 more appealing for many developers. The landscape of AI coding tools is evolving rapidly, with significant implications for project strategies.
✦ Why It Matters
Evaluate your current coding tools and consider alternatives that balance cost and functionality.
Key Takeaways
- Assess the cost-benefit of adopting Fable for your projects.
- Reevaluate existing coding tools like Opus and GLM for efficiency.
- Focus on improving coding harness and context strategies.
- Encourage team discussions on resource allocation for coding tasks.
Full Summary
Before the introduction of Fable, software engineers often overlooked the importance of refining their coding tools and strategies, as new models frequently emerged that could address most issues at a low cost. However, Fable changed the landscape with its impressive capabilities, albeit at a significantly higher price point.
This led engineers to reconsider how they allocate their coding efforts and resources, weighing the benefits of Fable against other models like Opus, K3, and GLM, which were deemed sufficient for many tasks. The shift in thinking emphasizes a more strategic approach to coding, focusing on the quality and context of the work rather than relying solely on the latest tools.
As a result, teams are now more deliberate in their choices, balancing cost and performance effectively.