⚡ Engineering as a Service: Let Product Loose and Build with AI?

⚡ Engineering as a Service: Let Product Loose and Build with AI?

For decades, the wisdom has been: product and engineering must work closely together. Product defines requirements, engineering builds them. And for the most part, that model worked well.

But tension always existed:

* 𝐏𝐫𝐨𝐝𝐮𝐜𝐭 pushing to go faster. Slowed by process and handover. * 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 aiming for long-term quality and 𝐧𝐨𝐧-𝐟𝐮𝐧𝐜𝐭𝐢𝐨𝐧𝐚𝐥𝐬.

In the era of 𝐀𝐈, pressure is greater. 𝐏𝐫𝐨𝐝𝐮𝐜𝐭 can now vibe code features instantly — even if they won’t hold up in the real world without 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 guardrails or rework.

🚀 Maybe time for something different — 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐚𝐬 𝐚 𝐒𝐞𝐫𝐯𝐢𝐜𝐞 (𝐄𝐚𝐚𝐒)

Think Platform as a Service, but for engineering.

* 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 builds the platform. * 𝐏𝐫𝐨𝐝𝐮𝐜𝐭 builds functionality.

𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 no longer codes features. Instead, it supplies all the 𝐛𝐮𝐢𝐥𝐝𝐢𝐧𝐠 𝐛𝐥𝐨𝐜𝐤𝐬 needed for real-world apps:

* Service templates, components, frameworks, integration scaffolding. * 𝐍𝐨𝐧-𝐟𝐮𝐧𝐜𝐭𝐢𝐨𝐧𝐚𝐥𝐬 (security, telemetry, performance, resilience, CI/CD, compliance). * Back-end for front-end layers, API connectors, pipelines. * Docs, guides, and context 𝐀𝐈 can use. * Testing tools + enforced standards on every 𝐀𝐈-generated 𝐏𝐑.

𝐏𝐫𝐨𝐝𝐮𝐜𝐭 then uses 𝐀𝐈 to vibe code features — safely inside the platform building from these parts rather than new from scratch AI code.

🛠️ Why This Is Different

Today:

* 𝐏𝐫𝐨𝐝𝐮𝐜𝐭 writes requirements. * 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐬 implement. * Translation lost, compromises made, both sides unhappy. * Endless back-and-forth slows delivery. * 𝐏𝐫𝐨𝐝𝐮𝐜𝐭 sees results too late, driving costly rework. * 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐬 often comprimize for "MVP" then try and improve after.

Tomorrow with 𝐄𝐚𝐚𝐒:

* Requirements vanish. * 𝐏𝐫𝐨𝐝𝐮𝐜𝐭 builds directly with 𝐀𝐈, iterating fast until they get what they want. * 𝐀𝐠𝐢𝐥𝐢𝐭𝐲 means building, seeing, adjusting in hours — not weeks. * 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 ensures capability + validates every 𝐏𝐑 automatically. * Quality code always, no comprimizes.

🔭 A Real Experiment

I’m exploring testing this with a client who wants to vibe code a rebuild of a front-end app. If they “just 𝐀𝐈 it” today, chaos. But with an 𝐄𝐚𝐚𝐒 layer, product + 𝐀𝐈 could deliver faster than any traditional model. This isn't a problem that will go away we need to solve ways to go faster with AI.

💡 The Future?

* 𝐏𝐫𝐨𝐝𝐮𝐜𝐭 = builds with 𝐀𝐈. * 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 = supplies blocks, sets guardrails, enforces tests. * 𝐀𝐈 = builder.

Bold. Risky. But maybe the way to escape decades of 𝐩𝐫𝐨𝐝𝐮𝐜𝐭–𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 friction.

👉 Would you embrace 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐚𝐬 𝐚 𝐒𝐞𝐫𝐯𝐢𝐜𝐞 and let 𝐩𝐫𝐨𝐝𝐮𝐜𝐭 loose to build with 𝐀𝐈? Can you build with AI safely with the right building blocks?

#AI #Engineering #Product #FutureOfWork #SoftwareArchitecture