𝗧𝘂𝗿𝗻𝘀 𝗼𝘂𝘁 𝘄𝗲 𝘄𝗲𝗿𝗲 𝘄𝗿𝗼𝗻𝗴. The industry moved. And it moved fast.
The most practical, most successful use case of AI right now are in this space and the models and tools keep getting better every day.
The interesting bit isn't just that people are using AI tools. 𝗜𝘁'𝘀 𝘁𝗵𝗮𝘁 𝗰𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀 𝗮𝗿𝗲 𝗳𝘂𝗻𝗱𝗮𝗺𝗲𝗻𝘁𝗮𝗹𝗹𝘆 𝗿𝗲𝗼𝗿𝗴𝗮𝗻𝗶𝘀𝗶𝗻𝗴 𝗵𝗼𝘄 𝘀𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗴𝗲𝘁𝘀 𝗯𝘂𝗶𝗹𝘁.
So, we had to ask ourselves some uncomfortable questions:
1. How do we look at this as an 𝗔𝗜 𝘁𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻 𝗳𝗶𝗿𝗺? 2. What are the 𝗮𝗰𝘁𝘂𝗮𝗹 𝗿𝗶𝘀𝗸𝘀? 3. Does this thing really 𝘀𝗰𝗮𝗹𝗲 𝗯𝗲𝘆𝗼𝗻𝗱 𝗱𝗲𝗺𝗼𝘀? 4. How do you do this without creating a 𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗻𝗶𝗴𝗵𝘁𝗺𝗮𝗿𝗲 or drowning in 𝘁𝗲𝗰𝗵 𝗱𝗲𝗯𝘁?
𝗢𝘂𝗿 𝗧𝗲𝗰𝗵 𝗟𝗲𝗮𝗱 𝗯𝗿𝗲𝗮𝗸𝘀 𝗶𝘁 𝗱𝗼𝘄𝗻 𝗶𝗻 𝘁𝗵𝗶𝘀 𝘃𝗶𝗱𝗲𝗼.
We are not ones to lean into hype cycles ... This is about what we're learning as we build with these tools every day - What's working, what's not, where we think it needs some extra human love and how we're making it work for enterprise clients who actually care about compliance and not accidentally introducing vulnerabilities.
Because vibe coding without guardrails is a definite no-no.
The full breakdown is in the video.
What's actually working, what keeps us up at night, and how we've built this into our workflow without compromising on security.