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The Future of AI Software Development
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Overview
Thoughtworks held a Future of Software Development Retreat to discuss AI-enabled development. Rachel Laycock and a colleague addressed inquiries about the event's intent, clarifying it is not aimed at creating a new manifesto like the Agile Manifesto.
Summary from martinfowler.com.
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The Future of AI Software Development
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Based on 5 sampled comments from this thread. Analyzed 2026-02-18.
- Praise: The Kimi K2 model demonstrates impressive performance at 24 tokens/second on affordable hardware, indicating that AI tools could become highly accessible and cost-effective for developers.
- Praise: The ability of LLMs to handle complex tasks allows developers to take on more significant challenges, potentially transforming the role of software engineers into Expert Generalists.
- Concern: Concerns about the long-term costs of token usage for LLMs suggest that future affordability may be uncertain, impacting the viability of AI in software development.
- Concern: The discussion around token subsidies raises skepticism about the true cost of AI models, indicating potential financial barriers for widespread adoption.