The industrial metaphor of automation and mechanization illustrates the concept of doing the same task faster. The key promise lies in freeing up cognitive and creative capacities so that capable people can spend more time on those aspects. This is likened to the electrification of scientific tools, anticipating the AI-ification of software engineering tools.
Reviewing voice note transcription apps, from WaveAI to Audiopen and ChatGPT. Then Fraser and Nabeel take stock of various ways AI coding is affecting software development, from Co-Pilots to "mealeable software development" and No-Code AI. Lastly, the hosts talk through a wish list of products they'd love to see this year.
Topics discussed:
- Slowed Pace of AI Product Launches
- Wave AI app, and what to look for in voice notes transcription
- Current state of AI-enabled software tools
- Potential impact of AI on software development workflows
- What is the AI native storytelling medium
- The AI todo list partner
- Coding as a liberal art
- User input layer and direct feedback in AI-enabled tools
References:
- Wave AI
- Meable Software in the age of LLMs
- Zapier AI
- Replit
- (00:00) -
- (01:39) - Wave AI
- (06:29) - Adapting Behavior to Leverage AI Products
- (12:54) - AI Enabled Software Development
- (13:46) - Infinitely Adaptable UIs via AI
- (18:31) - Zapier ++
- (20:51) - AI Enabled Software Engineers
- (31:31) - Different Products Across Each Layer
- (34:48) - AI Products We'd Like to See in 2024