- Published on
Research suggests microservices may be more suitable than monorepos for AI coding tools, especially with large projects, due to LLM context window limitations.
Ai
All Posts
ai (6)
- productivity (5)
- development (5)
- architecture (3)
- automation (3)
- documentation (3)
- microservices (2)
- system-design (2)
- event-sourcing (2)
- best-practices (2)
- innovation (2)
- writing (1)
- content-creation (1)
- communication (1)
- prompt-engineering (1)
- cognitive-development (1)
- learning (1)
- api (1)
- source-control (1)
- business-strategy (1)
- migration (1)
- data (1)
- deployment (1)
- devops (1)
- agentic-code (1)
- it-security (1)
- efficiency (1)
- team-culture (1)
- presentations (1)
- agile (1)
- lean-startup (1)
- machine-learning (1)
- neural-networks (1)
- lstm (1)
- bert (1)
- explainer (1)
- open-source (1)
- enterprise (1)
- software-development (1)
- mental-health (1)
- engineering (1)
- minimalism (1)
- Published on
A humorous and accessible introduction to how neural networks remember information, explained through the lens of a fictional breakup between LSTM and BERT.- Published on
Explore the four non-negotiable principles that enable shipping 10,000 lines of code daily: rapid deployment, intense observability, rigorous testing, and living documentation.- Published on
Understanding how to develop and prompt your models is the challenge. Where do you start? The old process was to create a flow, but with models it's a bit different, it's about goals and guardrails.- Published on
Explore why open source software is becoming the superior choice for enterprises in the AI era, offering advantages in documentation, development speed, and community collaboration that proprietary systems cannot match.- Published on
Discover how interacting with AI enhances our cognitive abilities, focusing on the art of developing questions and the emerging role of Prompt Engineers in shaping AI conversations.