podcast · research papers

Research Insights Made Simple

A podcast about whitepapers, research and engineering methodology in plain language

Each episode reviews one study or important engineering topic: what is actually useful, where the methodology has limits, and how to apply the findings in real software development.

episode catalog

Episodes by topic

18 episodes
#182025-10-23

AI in SDLC Report by IT One and Skolkovo

AI in SDLC Report

A review of the AI in SDLC report by IT One and Skolkovo: AI adoption maturity, effect metrics and practical AI4SDLC questions.

AI in SDLCDeveloper productivityResearch methodology
#172025-09-07

Early-2025 AI and Experienced Developer Productivity

Measuring the Impact of Early-2025 AI on Experienced Open-Source Developer Productivity

A review of research on early-2025 AI and experienced open-source developer productivity: methodology, results and limitations.

AI in SDLCDeveloper productivityResearch methodology
#162025-08-21

Impact of Generative AI in Software Development

Impact of Generative AI in Software Development

A review of Impact of Generative AI in Software Development: speed, review, quality, context and organizational conditions for AI adoption.

AI in SDLCDeveloper productivityDevEx
#152025-08-14

What Goes Around Comes Around... and Around, Part II

What Goes Around Comes Around... and Around

Part two of What Goes Around Comes Around... and Around: recurring trade-offs in data systems and modern databases.

DatabasesArchitecture governance
#142025-08-11

What Goes Around Comes Around... and Around, Part I

What Goes Around Comes Around... and Around

Part one of the review of What Goes Around Comes Around... and Around: historical cycles in databases and recurring architectural ideas.

DatabasesArchitecture governance
#132025-08-05

DORA Methodology

DORA Methodology

A review of DORA Methodology: the origin of DORA metrics, research limitations and careful organizational use.

Developer productivityResearch methodologyDevEx
#122025-07-21

Measuring Developer Productivity With DX Core 4

Measuring Developer Productivity With the DX Core 4

A review of DX Core 4: delivery, feedback, cognitive load and flow as a compact developer productivity measurement model.

Developer productivityDevEx
#112025-07-08

Measuring AI Code Assistants and Agents

Measuring AI Code Assistants and Agents

A review of Measuring AI Code Assistants and Agents: evals, change quality, review load and AI's impact on the whole SDLC.

AI in SDLCDeveloper productivityResearch methodology
#102025-05-30

Measuring Developer Experience With a Longitudinal Survey

Measuring Developer Experience With a Longitudinal Survey

A review of Measuring Developer Experience With a Longitudinal Survey: measuring DevEx over time and linking surveys to process improvements.

DevExDeveloper productivityResearch methodology
#092025-02-28

What Do Developers Want From AI?

What Do Developers Want From AI?

A review of What Do Developers Want From AI?: real developer expectations for AI tools, trust, context and everyday work.

AI in SDLCDevExDeveloper productivity
#082025-02-13

Measuring Developer Goals

Measuring Developer Goals

A review of Measuring Developer Goals: developer goals, work context, interruptions and the link between DevEx and real effectiveness.

Developer productivityDevExResearch methodology
What's inside · manual July 2026 snapshot
18
episodes
1
paper per episode
2024-2025
episode archive
4
platforms

Why listen

  • 01Understand whitepapers faster before deciding whether to read the full text
  • 02Separate strong research findings from methodological constraints
  • 03Connect research findings with engineering practice: AI in SDLC, DevEx, productivity and governance
  • 04Build a map of ideas for architecture and organizational decisions in large-scale software development

Episode format

One episode, one paper

Each episode is anchored in a specific research paper, report or whitepaper.

Methodology matters

We look at study design, samples, limits, metrics and what should not be overgeneralized.

Practical translation

Academic and industry research gets translated into engineering decisions, process changes and management trade-offs.

Topics covered

The episodes follow several lines: productivity, AI4SDLC, governance and platform thinking.

01Developer productivity
02DevEx and flow
03AI in SDLC
04AI code assistants and agents
05DORA / SPACE / DX Core 4
06API governance
07Architecture governance
08Technical debt
09Security by design
10Data platforms
11Database architecture
12Research methodology

Where to listen

The podcast is available in audio and video - pick the platform that fits.

Who it's for

  • Engineers and architects who want research without academic noise
  • Engineering managers and CTOs making decisions about productivity, DevEx and AI tooling
  • Platform teams looking for arguments around governance and internal standards
  • People who want to read papers more deliberately and find applicable ideas faster

Listen to the first episode

18 whitepaper and engineering research reviews. Start with API Governance at Scale or pick a topic in the episode catalog.

Open the YouTube playlist