This article explores whether dependency injection (DI) can exist in Rust without sacrificing the language’s core philosophy of zero-cost abstractions.
Every React developer reaches a point where the sheer volume of boilerplate starts to slow them down. Prop drilling, repetitive hook patterns, component scaffolding, unit test setup — the cognitive overhead adds up fast, especially at enterprise scale. When GitHub Copilot entered my workflow, I expected a productivity boost. What I didn't expect was how much I'd have to think about using it correctly.
After integrating AI-assisted development into a React 18 codebase — spanning custom hooks, context-based state management, and accessibility-driven UI — I came away with a clear picture of where AI genuinely accelerates the work, where it quietly introduces risk, and what guardrails every team needs before they ship AI-assisted code to production.
Scrum teams inspect how the last Sprint went during the Retrospective. They are much less likely to inspect the work they have handed to AI, because no meeting on the calendar owns it. That gap is where a working AI automation quietly turns into risk: it keeps producing fluent, on-brand output long after the decision to trust it has expired.
The AI Delegation Audit closes the gap by leveraging the facilitation skills teams already use in a Retrospective.
Jul 1st 2026, 12:00 by Vidyasagar (Sarath Chandra) Machupalli FBCS
A few weeks ago, I read a line from Boris Cherny, the person behind Claude Code, that stuck with me. He said he does not prompt Claude anymore. He has loops running, and those loops are the ones prompting Claude and deciding what to do next.
I sat with that for a while. For two years, every guide on working with AI agents told us to get better at writing instructions. Then it told us to get better at feeding the model the right information. Then it told us to build proper scaffolding around the agent so that it behaves like trustworthy software. Now there is a fourth layer, and it is less about talking to the agent and more about building a small system that talks to the agent for you. People are calling it loop engineering.
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