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TechCrunch+ roundup: No-code MVP strategy, hiring under scrutiny, A/B growth testing

TechCrunch

In a comprehensive article that weighs development costs and technical debt against time to market , Chopra encourages readers to consider factors like product defensibility and risk before deciding whether to build or buy. Full TechCrunch+ articles are only available to members. Thanks very much for reading TC+ this week!

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15 ways to grow as an IT leader in 2024

CIO

As workers at all levels put together their development plans for 2024, IT leaders, recruiters, researchers, and advisors share here what actions CIOs can take to advance their careers if they want to embrace a growth mindset. It will come down to navigating all the human elements,” he says.

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Update on Software Engineering Career Ladder

James Shore

Latest Update In April, the ladder only covered up to Technical Lead. I haven’t had a chance to go back and interview the engineers about what they think about the new system yet, but I’d like to do so. Verdict: Jury’s still out on this one. However, they have enough experience to take a strong peer leadership role in their teams.

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ChatGPT for Developers: Key Use Cases in Software Development

Apiumhub

Source: honeypot Another valuable application of ChatGPT is in writing test cases. The chat can analyze the logic and structure of the provided code, allowing it to generate test cases that cover various code paths and edge cases. The OpenAI chat proves to be a valuable tool for developers seeking to improve code performance.

ChatGPT 73
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Testing Rails Apps in 2021

MagmaLabs

Many Rails testing guides are comprehensive and curated tutorials that will walk you to a splendid test suite: your Rails 4 app from 2014. So, what are the best practices for testing Rails applications in 2021? The Test Pyramid. The more high-level you get the fewer tests you should have. Avoid tautological tests.

Testing 52
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The Power of AI Assistants and Advanced Threat Detection

Palo Alto Networks

We recently interviewed Mike Spisak, technical managing director with the Proactive Services Creation Team at Unit 42. Shifting left, doing the testing earlier in the AI lifecycle, will prove, I think, super valuable. He discussed his predictions around AI in cybersecurity, and the importance of fostering a cyber-aware culture.

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MLOps and DevOps: Why Data Makes It Different

O'Reilly Media - Ideas

The applications must be integrated to the surrounding business systems so ideas can be tested and validated in the real world in a controlled manner. Either paradigm is insufficient by itself: it would be ill-advised to suggest building a modern ML application in Excel. An Overarching Concern: Correctness and Testing.

DevOps 141