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Serverless Craic Ep70 Frictionless Developer Experience in the Age of AI

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Contenido proporcionado por Serverless Craic from the Serverless Edge. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Serverless Craic from the Serverless Edge o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

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In this episode Dave Anderson, Mark McCann, and Michael O’Reilly continue their deep dive tackling Chapter 14: The Frictionless Developer Experience.
The crew explore whether the principles of engineering excellence, developer enablement, and team topologies still stand strong in a world increasingly powered by AI and agentic systems. From **managing cognitive load** to **code as a liability**, they unpack how AI changes (and doesn’t change) the fundamentals of building high-quality software.
📌 Topics include:
Does AI really make development frictionless?
Maintaining engineering excellence in an AI-driven world
Enabling constraints and team autonomy
Revisiting the four team types in *Team Topologies*
The enduring importance of DORA metrics and stability
Why code is a liability—and how AI impacts this
The rise of specifications, contracts, and stronger test practices
⏱ Chapters
00:00 – Intro & recent travels
01:20 – Go To Service Bangalore & serverless momentum
02:40 – Frictionless developer experience in an AI world
04:50 – Cognitive load & enabling constraints
06:20 – Engineering excellence: still relevant?
08:10 – Three characteristics of great software creation
10:25 – Principles, context, and best practices in the AI era
12:40 – Goal-driven frameworks & outcome-based leadership
14:00 – Challenging teams with the right questions
15:35 – AI as an enabler for strong engineers
17:20 – Democratising knowledge & rapid learning
18:40 – Team Topologies in the AI landscape
20:45 – Socio-technical changes & enabling teams
22:15 – Will teams be smaller or just better?
23:30 – Autonomy, mastery, and purpose
25:05 – Engineers’ mastery in the age of AI
26:00 – DORA metrics: throughput & stability
28:00 – Code as a liability & maintainability concerns
29:20 – Specifications, contracts, and test-driven approaches
31:00 – Shared outcomes & embracing AI in delivery
🔗 Resources & Links
📚 Team Topologies: https://teamtopologies.com by Matthew Skelton & Manuel Pais
📖 Accelerate by Nicole Forsgren, Jez Humble & Gene Kim
🌐 The Serverless Edge https://theserverlessedge.com)– Blog & resources

Serverless Craic from The Serverless Edge
Check out our book The Value Flywheel Effect
Follow us on X @ServerlessEdge
Follow us on LinkedIn
Subscribe on YouTube

  continue reading

78 episodios

Artwork
iconCompartir
 
Manage episode 500430720 series 3304957
Contenido proporcionado por Serverless Craic from the Serverless Edge. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Serverless Craic from the Serverless Edge o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

Send us a text

In this episode Dave Anderson, Mark McCann, and Michael O’Reilly continue their deep dive tackling Chapter 14: The Frictionless Developer Experience.
The crew explore whether the principles of engineering excellence, developer enablement, and team topologies still stand strong in a world increasingly powered by AI and agentic systems. From **managing cognitive load** to **code as a liability**, they unpack how AI changes (and doesn’t change) the fundamentals of building high-quality software.
📌 Topics include:
Does AI really make development frictionless?
Maintaining engineering excellence in an AI-driven world
Enabling constraints and team autonomy
Revisiting the four team types in *Team Topologies*
The enduring importance of DORA metrics and stability
Why code is a liability—and how AI impacts this
The rise of specifications, contracts, and stronger test practices
⏱ Chapters
00:00 – Intro & recent travels
01:20 – Go To Service Bangalore & serverless momentum
02:40 – Frictionless developer experience in an AI world
04:50 – Cognitive load & enabling constraints
06:20 – Engineering excellence: still relevant?
08:10 – Three characteristics of great software creation
10:25 – Principles, context, and best practices in the AI era
12:40 – Goal-driven frameworks & outcome-based leadership
14:00 – Challenging teams with the right questions
15:35 – AI as an enabler for strong engineers
17:20 – Democratising knowledge & rapid learning
18:40 – Team Topologies in the AI landscape
20:45 – Socio-technical changes & enabling teams
22:15 – Will teams be smaller or just better?
23:30 – Autonomy, mastery, and purpose
25:05 – Engineers’ mastery in the age of AI
26:00 – DORA metrics: throughput & stability
28:00 – Code as a liability & maintainability concerns
29:20 – Specifications, contracts, and test-driven approaches
31:00 – Shared outcomes & embracing AI in delivery
🔗 Resources & Links
📚 Team Topologies: https://teamtopologies.com by Matthew Skelton & Manuel Pais
📖 Accelerate by Nicole Forsgren, Jez Humble & Gene Kim
🌐 The Serverless Edge https://theserverlessedge.com)– Blog & resources

Serverless Craic from The Serverless Edge
Check out our book The Value Flywheel Effect
Follow us on X @ServerlessEdge
Follow us on LinkedIn
Subscribe on YouTube

  continue reading

78 episodios

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