Tagged articles

risk-based automation

3 articles · Page 1 of 1
Data Bricklaying Diary
Data Bricklaying Diary
Sep 29, 2026 · R&D Management

Beyond the AI Hero: Building Sustainable Team Delivery in the Agent Era

The article argues that individual AI proficiency does not guarantee team delivery sustainability, advocating for clear role responsibilities, handover exercises to validate shared capabilities, hiring for AI usage plus engineering judgment and collaboration, and risk-based automation decisions to build organizational capability in the Agent era.

AI-assisted developmentAgent erahandover testing
0 likes · 12 min read
Beyond the AI Hero: Building Sustainable Team Delivery in the Agent Era
Data Bricklaying Diary
Data Bricklaying Diary
Sep 17, 2026 · R&D Management

Closing the Loop: AI-Native SDLC Feeds Production Reality Back to R&D

This article explains how AI-native SDLC transforms production incidents into continuous development feedback by using deterministic detection for anomalies, AI-assisted diagnosis for evidence gathering, risk-tiered automation paths, protected regression tests from failures, and multi-layer asset updates — all while keeping humans accountable for decisions and releases.

AI-Native SDLCAI-assisted diagnosisIncident Management
0 likes · 12 min read
Closing the Loop: AI-Native SDLC Feeds Production Reality Back to R&D
Data Bricklaying Diary
Data Bricklaying Diary
Sep 3, 2026 · R&D Management

AI Coding Accelerates, But R&D Process Emerges as New Bottleneck

As AI speeds up code generation, bottlenecks shift from coding to requirements clarity, design validation, verification evidence, and release accountability; the article argues for an AI-native SDLC built on authoritative artifacts, independent evidence, risk-based responsibility gates, and production feedback loops rather than simply adding agents to each phase.

AI-Native SDLCR&D ProcessSpec-Driven Development
0 likes · 12 min read
AI Coding Accelerates, But R&D Process Emerges as New Bottleneck