O Método Fábio Akita para programar com IA

Key Takeaways

• Fábio Akita doesn't hate AI; he despises the mediocrity often associated with its use in coding.
• Akita's approach to AI in programming is an 'anti-prompt engineering' movement, focusing on genuine software engineering principles.
• Projects can be categorized as 'build to earn' (for income) or 'build to learn' (for skill development).
• Learning from your primary job is a consequence, not always the primary goal, especially in 'build to earn' projects.
• Dedicated 'build to learn' projects are crucial for continuous skill development and avoiding stagnation, particularly with legacy code.
• The concept of 'ultra learning' emphasizes practical application and learning by doing, aligning with the 'build to learn' philosophy.
• While 'build to learn' projects are valuable, the capitalist drive often prioritizes income generation, creating a need for balance.
• True software engineers leverage AI to solve complex problems and handle edge cases, rather than relying on simple prompt engineering.