The hottest Code generation Substack posts right now

And their main takeaways
Category
Top Technology Topics
The API Changelog 3 implied HN points 13 Jun 25
  1. TypeSpec offers better features than OpenAPI for API development. It allows for strong typing and is more in tune with how developers want to work.
  2. Teams like Pinterest find value in using TypeSpec to create a single, unified schema for their APIs. This helps them generate different formats like OpenAPI and GraphQL more easily.
  3. You can use TypeSpec as your main API definition tool and still create OpenAPI documents when needed. This combination can make your workflow smoother and more effective.
Mythical AI 137 implied HN points 07 Apr 23
  1. AI is making it easier for people to program by allowing them to describe tasks in English and having the computer figure out the code.
  2. Computers need precise instructions and struggle with understanding context, making programming challenging.
  3. Programmers are rare, expensive, and building software is costly, but AI is helping automate coding, making programmers more productive.
AI Brews 22 implied HN points 19 Jan 24
  1. Google DeepMind's AlphaGeometry AI system solves complex geometry problems at human Olympiad level.
  2. Codium AI's AlphaCodium improves code generation in LLMs with test-based iterative flow.
  3. Meta is working on open-source AGI and Microsoft Research made progress in AI-driven drug discovery.
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Reflective Software Engineering 0 implied HN points 26 Jun 23
  1. Start with defining the API schema instead of API-first approach as it allows for early feedback, unblocks consumer development, and enables incremental progress.
  2. An API schema specifies all endpoints, interactions, and responses, and can be visualized in tools like Swagger, aiding in documentation and code generation.
  3. Working schema-first has benefits like enabling real-time collaboration, source-controlled contract, and code generation capabilities based on the formal specification.
Data at Depth 0 implied HN points 04 Jun 23
  1. ChatGPT is being used in the world of Python coding for prompt engineering, especially in the area of data visualization.
  2. The author, a Python programmer with over 20 years of experience, has been leveraging ChatGPT to enhance prompt engineering skills.
  3. Readers can access the full post archives by subscribing to Data at Depth and getting a 7-day free trial.