{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"The Vernon Richard Show","title":"6 AI Tool Ideas That Will Transform How You Test","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/a1b73d68\"></iframe>","width":"100%","height":180,"duration":3072,"description":"In this episode, Richard and Vernon explore the evolving concept of automation in quality, especially in the context of AI and Gen AI. They discuss how new technologies are blurring the lines between testing and quality, and what this means for the future of software development and testing practices.\n00:00 - Intro\n00:52 - Welcome and weekly catch-up\n01:11 - Vern's deep dive into the AI rabbit hole\n02:39 - Rich’s quit(er) work week, new threads, and dentists\n04:15 - Richard buys a domain and we started the pod proper\n06:09 - Tool idea #1: Using an LLM to evaluate user stories and acceptance criteria automatically\n07:35 - Is analysing a story \"testing\" or \"quality\"? The ISTQB static analysis debate\n10:27 - Vernon's diabetes analogy: AI is forcing us to finally do what we always said we should\n12:19 - Better stories = better testing: how quality work amplifies everything downstream\n13:11 - Tool idea #2: \"If we made this change, what areas of the system would be impacted?\"\n14:23 - Distilling years of system knowledge into 5–10 questions an agent could ask\n18:37 - Tool idea #3: The PR Analyser — summarising code changes through a testing and quality lens\n21:45 - Vernon's \"1 unit of effort, 5 units of testing\" — the quality multiplier effect\n23:29 - Comparing story analysis to actual implementation: where did understanding diverge?\n24:43 - Tool idea #4: Dynamic test selection — cherry-picking the right tests to run first\n27:05 - Tool idea #5: An agent that analyses failed builds and attempts to fix them\n27:28 - Why Richard's first attempt always \"fixed\" the test instead of the code (and what was missing)\n29:21 - Dan's AI agents: one thinking partner, one employee monitoring production\n32:42 - The documentation goldmine: why AI-generated RCA notes might matter more than the fix\n33:39 - Tool idea #6: A holistic quality dashboard pulling insights across stories, code, tests, and process\n36:43 - John Cutler on context: it's not data you pass around — it's formed through...","thumbnail_url":"https://img.transistorcdn.com/UFGkkh_jsZubLbpE6txGLPU3-7iIlh6gJ0JsseFDEm0/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9iM2Zk/NGQ3NDk4NmVkNjA5/OGJmMzA0ODQxMWIy/N2ExOS5wbmc.webp","thumbnail_width":300,"thumbnail_height":300}