Prompt to Production: The Future of AI Code Workflows
Community Score: 50% | 9.2K views | 2w
0 community ratings: null thumbs up, null thumbs down
Learn more about Agentic Coding here → https://ibm.biz/~eVuLdAOOj Writing code is becoming the easy part. Sam Anthony explains why planning, execution, validation, and verification matter more as AI coding systems become increasingly capable. Learn how prompt-to-production workflows are reshaping modern software engineering. 00:00 - Why Prompt‑to‑Production Feels So Easy 00:25 - Planning: The New Core Skill in AI‑Driven Engineering 01:08 - Choosing the Right AI‑Driven Approach 01:31 - Why Implementation Is No Longer the Hard Part 02:18 - Designing the Solution Before AI Executes 02:48 - The Hidden Complexity Behind Code Changes 03:11 - Agentic Coding Systems and Self‑Correcting Workflows 04:33 - The New Bottleneck: Human Verification at AI Scale 05:07 - Evidence‑Driven Development and Trust 06:16 - How AI Is Reshaping Developer Skills 06:47 - The Future: Continuous Prompt‑to‑Production Workflows AI news moves fast. Sign up for a monthly newsletter for AI updates from IBM → https://i
Tags: IBM, IBM Cloud
More from IBM Technology
- Cybersecurity Architecture: Five Principles to Follow (and One to Avoid) — Score: 50%
- What is Multimodal RAG? Unlocking LLMs with Vector Databases — Score: 50%
- AI Privilege Escalation: Agentic Identity & Prompt Injection Risks — Score: 50%
- Better Instructions, Better AI Results — Score: 50%
- Copilot usage reveals AI adoption patterns — Score: 50%
- Claude Opus 4.6 Security Risks — Score: 50%