We thought AI would help us write code faster. Instead, it's changing what coding actually is.
We started with prompts, then copilots, then agents. Each step felt like a leap forward — until you try to build something real at scale.
Because prompts don’t remember.
Agents don’t coordinate.
And models still hallucinate and miss context.
What’s emerging instead is a different approach: not writing code line by line, but designing systems that produce, validate, and evolve code.
Instead of a single assistant, we orchestrate multi-agent workflows — planning, implementing, reviewing, and testing — with shared context and feedback loops.
In this talk, we’ll cover:
- why prompt-based and single-agent approaches break down
- how multi-agent systems reshape development workflows
- practical patterns for planning, execution, validation, and control loops
- where things fail — and how to make systems reliable
We’ll show how structured orchestration makes agent-based systems actually work in practice — especially when moving beyond isolated, task-level automation.
The shift isn’t from coding to prompting — it’s from coding to designing systems that write code.
This talk has been presented at AI Coding Summit London, check out the latest edition of this Tech Conference.
