Engineers at FAANG companies are now using AI coding agents directly in production work, beginning every project with a solid technical design document and detailed system architecture.
After design reviews and sprint planning, developers rely on AI for test-driven development by generating tests first and then building out features, which significantly accelerates coding without skipping documentation or oversight.
This structured workflow has increased development speed by about 30%, with all code still passing multi-developer reviews and staging tests before being pushed to production.
Follow us (@artificialintelligenceee) for everything latest from the AI world.
Credits: u/TreeTopologyTroubado via r/vibecoding
After design reviews and sprint planning, developers rely on AI for test-driven development by generating tests first and then building out features, which significantly accelerates coding without skipping documentation or oversight.
This structured workflow has increased development speed by about 30%, with all code still passing multi-developer reviews and staging tests before being pushed to production.
Follow us (@artificialintelligenceee) for everything latest from the AI world.
Credits: u/TreeTopologyTroubado via r/vibecoding
Engineers at FAANG companies are now using AI coding agents directly in production work, beginning every project with a solid technical design document and detailed system architecture.
After design reviews and sprint planning, developers rely on AI for test-driven development by generating tests first and then building out features, which significantly accelerates coding without skipping documentation or oversight.
This structured workflow has increased development speed by about 30%, with all code still passing multi-developer reviews and staging tests before being pushed to production.
Follow us (👉@artificialintelligenceee) for everything latest from the AI world.
Credits: u/TreeTopologyTroubado via r/vibecoding
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