Get it on Google Play

Hype and Reality of the AI Coding Shift

Hype and Reality of the AI Coding Shift

Author: Software Engineering Daily April 23, 2026 Duration: 57:05
Software Engineering Daily
Technology

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.

Sponsorship inquiries: sponsor@softwareengineeringdaily.com

The post Hype and Reality of the AI Coding Shift appeared first on Software Engineering Daily.


Dive into the deep end of the world's most ubiquitous programming language with the JavaScript Archives-Software Engineering Daily. This curated collection pulls from the broader archive, focusing entirely on conversations that dissect the ecosystem, its evolution, and its practical application in modern software engineering. Each episode features in-depth technical interviews with engineers, library authors, and industry leaders who have shaped the language. You'll hear detailed discussions on everything from the intricacies of frameworks like React and Node.js to the underlying mechanics of the V8 engine, from deployment strategies to the challenges of building at scale. The dialogue is substantive and geared toward practicing developers, offering insights that go far beyond surface-level tutorials. For anyone who builds with JavaScript, this podcast serves as an essential audio companion, transforming complex topics into accessible, thoughtful dialogue that illuminates the how and why behind the code we write every day.
Author: Language: en-us Episodes: 50

Official website RSS
youtubelinkedinspotifyapple_music
Software Engineering Daily
Podcast Episodes
Scaling Agent Workloads at Vercel [not-audio_url] [/not-audio_url]

Duration: 51:25
Most AI agent setups today are built around a single session, where one user interacts with one agent at a time. However, that model breaks down when an agent has to serve a business, where thousands of requests can arri…
Inside Google’s Database Infrastructure for the AI Era [not-audio_url] [/not-audio_url]

Duration: 1:18:26
Historically, databases were responsible for storing data and returning exact results in response to queries. However, AI is now bending that contract in a new direction. Applications increasingly expect structured and u…
A Rust Framework to Simplify Distributed Systems [not-audio_url] [/not-audio_url]

Duration: 50:31
A Rust Framework to Simplify Distributed Systems Building software that runs across many machines is notoriously difficult. Developers have to grapple with problems such as race conditions, partial failures, and message…
Moving Beyond RAG with Precomputed Context [not-audio_url] [/not-audio_url]

Duration: 55:48
Retrieval has become one of the central problems in building useful AI systems. The standard approach to grounding a model in one’s own data has been retrieval augmented generation, or RAG, where an agent searches a vect…
The Death of Online Anonymity [not-audio_url] [/not-audio_url]

Duration: 52:42
Age verification is reshaping how people access the internet. An ever-growing patchwork of laws can now require government IDs, facial age estimation, or behavioral inference before you can enter digital spaces. Discord,…
TypeScript 7 and What Comes Next [not-audio_url] [/not-audio_url]

Duration: 57:15
TypeScript is a programming language that builds on JavaScript by adding a system of types. Those types let developers describe the shape of their data and catch mistakes before code ever runs, while also powering the au…
The Gap Between AI Spending and AI Value [not-audio_url] [/not-audio_url]

Duration: 54:42
It is widely reported that a gap has emerged between enterprise spending on AI and the durable value captured from that spend. Individual employees have enthusiastically adopted coding assistants and chatbots, yet those…
AI and the New Global Security Landscape [not-audio_url] [/not-audio_url]

Duration: 1:12:32
The conversation about AI often focuses on software, automation, and the race between attackers and defenders in code. However, some of the most consequential risks lie further afield, in domains where a mistake is measu…
How LLMs Are Reshaping Recommendation Systems [not-audio_url] [/not-audio_url]

Duration: 47:51
News feeds and recommendation systems have long relied on deep learning architectures that score each candidate item independently. As LLMs have matured, they have opened up a fundamentally different approach, where a sy…

12345»