Verified agentic engineering
Verified agentic engineering, serving your e-commerce profitability
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Definition
Agentic engineering means orchestrating artificial intelligence agents that write the code, while an expert sets the goals, checks every step and validates the result. Andrej Karpathy proposed the term in February 2026 as the successor to "vibe coding". The verified version adds one requirement: no delivery without measurement, no data access without control.
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What it changes for you
- Short deliveries, each one verified and shown before the next.
- An application designed for your profitability, not just to work.
- Every feature delivered with its proof: tests, measurements, screenshots.
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The method in 5 steps
- 1. Frame: business goals, users, data access rules and success criteria, written before the first line of code.
- 2. Orchestrate: precise instructions to the agents, one verifiable step at a time.
- 3. Verify by measurement: automated tests, counts, screenshots, nothing is approved on trust.
- 4. Audit security: control of who can read or change which data, cross account access testing (OWASP A01).
- 5. Deliver and steer: release after your approval, then tracking of the metrics that matter to your business.
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The rules I hold myself to
- You decide every release.
- Tests run on fictitious data.
- Every fix is measured before and after.
- No gimmick agents, no generic chatbots.
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See the method applied
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Frequently asked questions
What is agentic engineering?
It is the orchestration of artificial intelligence agents that write the code, while an expert sets the goals, checks every step and validates the result.
How is it different from vibe coding?
Vibe coding lets AI produce without a frame or systematic verification. Agentic engineering adds the specification, the tests, the security review and an expert's accountability for the result.
Why a custom tool rather than off the shelf software?
Generic software imposes its processes and its subscription. A custom tool fits your business and solves your precise problem.
Does it suit an application that handles customer data?
Yes, provided the data access rules are verified: that is step 4.
What is the expert's role if AI writes the code?
They decide what to build and why, split the work, check every delivery by measurement and take responsibility for the result.