In this first English-language episode of TobiHochZwei, Tobias
Allweier and Tobias Wittenburg welcome Karthik Rameshkumar, Field
CTO at GitHub, for a grounded conversation about AI coding,
agentic development, and the skills that matter as software teams
adapt to a faster pace of change.They talk about how AI is
reshaping the software development lifecycle, why human judgment
still matters, where deterministic tools are still the better
choice, and how teams can experiment with AI agents without
giving up governance, context, or responsibility. The episode is
relevant for developers, engineering leaders, and anyone trying
to understand how AI changes the way digital products are
built.What we talked about:- What a GitHub Field CTO does and how
customer feedback shapes product direction.- Why Asia has become
a major center of global software development and engineering
talent.- How to manage the pace of AI innovation without chasing
every new model or tool.- How AI is moving beyond code generation
into testing, validation, QA, and maintenance.- Why AI is better
understood as a force multiplier than a simple replacement for
human work.- Why human-in-the-loop, permissions, and governance
matter when AI systems interact with real environments.- Why not
every task needs AI, especially when deterministic tools already
solve the problem well.- How GitHub is thinking about agents,
model choice, intent detection, and the future of collaborative
AI workflows.Our guest:Karthik Rameshkumar, Field CTO at
GitHubhttps://www.linkedin.com/in/karthik-rameshkumar
Chapters:
(00:00) Intro and the first English episode
(01:25) What a GitHub Field CTO actually does...
(04:30) Why Asia matters in global software development
(10:24) Managing the pace of AI innovation
(17:08) How AI is changing the software development lifecycle
(25:37) Is AI coming for our jobs?
(39:50) Human judgment, risk, and non-deterministic systems
(45:11) Why not every problem needs AI
(49:55) Agents, A2A, and the pizza-ordering example
(54:02) GitHub's view on agent governance and model choice and
the human element in AI
(1:03:30) What keeps the Tobias awake at night and what gives us
optimism
(1:12:43) Outro
Links from our episode:
GitHub Octoverse:
https://octoverse.github.com/Octoverse
Metric:
https://github.blog/news-insights/octoverse/octoverse-a-new-developer-joins-github-every-second-as-ai-leads-typescript-to-1/
GitHub Docs - Choosing the right AI model for your
task:
https://docs.github.com/en/copilot/using-github-copilot/ai-models/choosing-the-right-ai-model-for-your-task
AI Bots Speaking:
https://www.youtube.com/watch?v=EtNagNezo8w
Feedback loop:
Have you found bugs we should fix, or topic ideas we should
deploy? Send us a pull request by mail:
feedback@tobihochzwei.deIf you enjoy the podcast, support us with
a quick follow, rating, and recommendation.
LinkedIn:
https://www.linkedin.com/company/tobihochzwei/
SEO keywords:
TobiHochZwei, Tobi Hoch Zwei, Tobi Hoch 2, Tobi_2, Tobi 2,
Karthik Rameshkumar, GitHub, GitHub Copilot, AI coding, AI
agents, agentic development, software development lifecycle,
SDLC, human in the loop, AI governance, developer productivity,
software engineering, prompt engineering, model choice, future of
work
Podcast description:
TobiHochZwei - Double Tobi, double tech is the podcast about
software, cloud, and modern technologies. Hosts Tobias Allweier
and Tobias Wittenburg talk practically about software
development, cloud architectures, artificial intelligence, and IT
strategy. With clear insights from day-to-day work, real
experience, and interesting guests, every episode delivers
orientation and value for newcomers and experienced IT
professionals alike.
More info and imprint: www.TobiHochZwei.de/impressum
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