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Stackless Backend Engineering
Philip Ireoluwa Okiokio
3 episodes
1 day ago
Stackless Backend Engineering is a show where Backend Engineering is discussed with the intent to make you consider the engineering decisions you make. Its goal is to provide Early to Intermediate Engineers with tools, considerations and mental models required in building resilient, strong, and potentially scalable applications. We are language agonistic but engineering-focused, Proof of concept codes may be provided in Python.
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All content for Stackless Backend Engineering is the property of Philip Ireoluwa Okiokio and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
Stackless Backend Engineering is a show where Backend Engineering is discussed with the intent to make you consider the engineering decisions you make. Its goal is to provide Early to Intermediate Engineers with tools, considerations and mental models required in building resilient, strong, and potentially scalable applications. We are language agonistic but engineering-focused, Proof of concept codes may be provided in Python.
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Courses
Education
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The Pilot Ep. 00
Stackless Backend Engineering
37 minutes 4 seconds
2 years ago
The Pilot Ep. 00

Hi Hi, This is the Pilot of the Pod.


In this episode, I answered a few questions I asked myself.

They include

1. Who am I?

2. Why should I host this pod?

3. What do I hope to achieve with this pod?

4. What are my plans for this show?

5. Code snippets?


and a few side remarks like Snippets of what will be discussed and System Engineering.



Where can you find us:

On Twitter: @philip_kaizen

On Instagram: @kaizen_awuloeri


The Pods page:


On Instagram: @stackless_backend_eng

Stackless Backend Engineering
Stackless Backend Engineering is a show where Backend Engineering is discussed with the intent to make you consider the engineering decisions you make. Its goal is to provide Early to Intermediate Engineers with tools, considerations and mental models required in building resilient, strong, and potentially scalable applications. We are language agonistic but engineering-focused, Proof of concept codes may be provided in Python.