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    Home»Software Engineering»Hype and Reality of the AI Coding Shift
    Software Engineering

    Hype and Reality of the AI Coding Shift

    AdminBy AdminApril 26, 2026No Comments3 Mins Read7 Views
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    AI coding tools have gone from novelty to core infrastructure in under three years. Today, many devs use AI daily, a substantial share of new code is AI-generated, and expectations for automation are rapidly increasing.

    Sonar is a company specializing in analysis of code quality and security, and they recently released a new survey – the State of Code Developer Survey. The survey provides a deep examination of how developers are using AI in real production environments, and where the real-world gaps and risks still exist.

    Chris Grams is the CVP of Corporate Marketing at Sonar, and Manish Kapur is the VP of Product Marketing and Developer Relations at Sonar. In this episode, they join Matt Merrill to discuss what the survey reveals about AI-assisted development, why 96% of developers still don’t fully trust AI-generated code, how deterministic verification layers fit into agent-driven workflows, and what engineering leaders should prioritize as AI shifts from experimentation to production infrastructure.

    Matt Merrill is a software engineering leader with over 20 years of experience building and scaling software teams across enterprise and product-focused organizations. His background is in backend development, cloud architecture, and distributed systems design. He currently architects and delivers software products and leads a team of engineers at DEPT® Agency. You can learn more about his work at code.theothermattm.com.

    Please click here to see the transcript of this episode.

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    Today’s episode of Software Engineering Daily is brought to you by Unblocked.

    Your coding agents have access to your codebase, maybe you’ve even connected other tools via MCPs. But access doesn’t mean context. Agents can’t reason across MCPs, they don’t know your architectural decisions, your team’s patterns, or why the API was shaped the way it is. So agents look in the wrong place and deliver bad outputs. Then you spend time correcting—turn after turn.

    Unblocked is the context layer your agents are missing. It synthesizes your PRs, docs, Slack, and tickets into organizational context that agents actually understand – so they make better plans, write higher quality code, use fewer tokens, and require fewer correction loops.

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