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A prep checklist for startups about to undergo technical due diligence

TechCrunch

8 questions to answer before your startup faces technical due diligence. Previously, the author offered a detailed overview of the technical due diligence (TDD) process investors conduct before injecting cash into early stage startups. Code quality. Which software languages do you use?

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Technical Review: A Trusted Look Under the Hood

TechEmpower CTO

Many CEOs of software-enabled businesses call us with a similar concern: Are we getting the right results from our software team? We hear them explain that their current software development is expensive, deliveries are rarely on time, and random bugs appear. What does a business leader do in this situation?

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The early returns on gen AI for software development

CIO

Generative AI is already having an impact on multiple areas of IT, most notably in software development. Early use cases include code generation and documentation, test case generation and test automation, as well as code optimization and refactoring, among others.

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

TechCrunch

Use discount code TCPLUSROUNDUP to save 20% off a one- or two-year subscription. 4 practical steps for using no-code to evolve your prototype to an MVP Image Credits: Luis Cagiao Photography (opens in a new window) / Getty Images Forget about dogs: No-code development tools can be a non-technical founder’s best friend.

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Leveraging Standardization and Automation to Facilitate DevOps Testing in Multi-Code Environments

CIO

By Milan Shetti, CEO Rocket Software In today’s volatile markets, agile and adaptable business operations have become a necessity to keep up with constantly evolving customer and industry demands. The problem with unstructured manual testing processes The benefits of DevOps testing revolve around increased speed and flexibility.

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The Hidden Gem of Savings in the Software Delivery. And no, it’s not AI

CIO

According to Deloitte research , AI will boost the productivity of software development processes from 50% to 1000%. It will improve project management, help with requirements creation, assist developers with coding, cover the system with auto-tests, report defects, and improve deployment.

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QA Wolf exits stealth with an end-to-end service for software testing

TechCrunch

QA Wolf , a cloud-based platform designed to detect bugs in software, today exited stealth and announced a $20 million funding round led by Inspired Capital with participation from Notation Capital, Operator Partners and Thiel Capital and several angel investors (among them Peter Thiel). Neither, obviously, are very desirable scenarios.