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AI-native software engineering may be closer than developers think

CIO

Developers unimpressed by the early returns of generative AI for coding take note: Software development is headed toward a new era, when most code will be written by AI agents and reviewed by experienced developers, Gartner predicts. That’s what we call an AI software engineering agent.

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Selecting a Software Development Company in 2024

TechEmpower CTO

million software developers worldwide. Given this diversity, it's important to be selective in the development services company with whom you choose to partner. How do they verify the ongoing progress of development? What are the review periods and your responsibility in the process? How do they handle testing?

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TechCrunch Experts: 3 articles on growth marketing and software development

TechCrunch

TechCrunch Experts continues to gather and share authoritative advice for founders who need help with growth marketing and software development. siewski, CEE mobile gaming lead, Google. When it comes to growth marketing, ‘so much of CRO is psychological’ Software consulting.

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From Ph.D. to boutique software developer: An interview with Solwey’s Andrew Drach

TechCrunch

Software consultant Andrew Drach’s two companies Callentis and Solwey demonstrate his entrepreneurial skills, but his clients also value his educational background, as we learned through TechCrunch’s survey to identify the best software consultants for startups. How have you been finding clients?

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Companies to shift AI goals in 2025 — with setbacks inevitable, Forrester predicts

CIO

AI governance is already a complex issue due to rapid innovation and the absence of universal templates, standards, or certifications. AI-driven software development hits snags Gen AI is becoming a pervasive force in all phases of software delivery. 40% of highly regulated enterprises will combine data and AI governance.

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10 investors discuss the no-code and low-code landscape in Q1 2022

TechCrunch

No-code and low-code development suites have so far been used mostly by marketers and analysts. Initially, no-code/low-code was primarily a way for non-technical builders to create (sometimes gimmicky) applications,” said Navin Chaddha, managing director at VC firm Mayfield. How much has adoption increased since?

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Can AI solve your technical debt problem?

CIO

But t echnical debt can undercut an organizations ability to innovate long term, and the shortcuts taken during initial development likely resulted in a codebase thats convoluted, slow, or difficult for devs to understand. Add outdated components or frameworks to the mix, and the difficulty to maintain the code compounds.