On Uncertainty, Prediction, and Planning
This article describes the software industry’s dismal history with predictions and planning in the face of uncertainty.
Grab Redesigns Counter Service Storage for 50% Lower P99 LatencyInfoq
The Async Multiprocessing Has Sound Foundations in Linux, But Further Testing is NeededInfoq
AI Agents with Cloud Credentials Are Outrunning Billing Guardrails Built for Human-Speed MistakesInfoq
How to Develop Software Engineering Skills in the Age of AIInfoq
CodeGuardian: a Model Context Protocol Server for AI-Assisted Code Quality Analysis and SecurityInfoq
Agility and Architecture: Balancing Minimum Viable Product and Minimum Viable ArchitectureInfoq
Anthropic integration with Modal brings scalable compute to Claude ScienceModal
Multi-token Residual PredictionModal
Agile versus Waterfall project management: A comparative guideNotion So
5 strategic planning models and frameworks you should knowNotion So
How to run an effective sprint planning meetingNotion So
Back to school: Notion is now free for student organizationsNotion So
Netlify CMS Planning: Working in SprintsNetlify
Tactical vs. strategic planning: key differences and examplesNotion So
How to Develop and Deploy a Customer Churn Prediction Model Using Python, Streamlit, and DockerDocker
Best Practices for DivesMotherduck
What’s a Scrum board, and how can you create one?Notion So
Medical Device Marketing: A Practical MedTech PlaybookHeygen
The Reality of AI and BioriskCohere
Real Estate Listing Videos: Formats, Scripts & StepsHeygen
