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AI-native software engineering may be closer than developers think

CIO Business Intelligence

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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How employers can inspire software developers

CIO Business Intelligence

Software developers are in demand. They must be developer-friendly because software development is not a traditional 9-to-5 job. Anyone who has a good idea for a new function in the software, who thinks they have discovered a profitable gap in the market or who wants to test a new algorithm can simply do so.

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The Question Is No Longer “If” But “How” AI Is Transforming Software Development

Forrester IT

In the rapidly evolving landscape of software development, one month can be enough to create a trend that makes big waves. This approach to software development uses […]

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Arista financials offer glimpse of AI network development

Network World

Facebook’s parent company, Meta Platforms, helped develop the 7700 and recently said it would be deploying the Etherlink switch in its Disaggregated Scheduled Fabric (DSF), which features a multi-tier network that supports around 100,000 DPUs, according to reports. specification before the end of the year.

Financial 420
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Launching LLM-Based Products: From Concept to Cash in 90 Days

Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage

In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment.

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Remember when developers reigned supreme? The market for software coding goes soft

CIO Business Intelligence

It seems like only yesterday when software developers were on top of the world, and anyone with basic coding experience could get multiple job offers. This yesterday, however, was five to six years ago, and developers are no longer the kings and queens of the IT employment hill.

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Predictions 2025: GenAI Reality Bites Back For Software Developers

Forrester IT

AI assistants are only the beginning of the generative AI software development revolution. Find out what’s in store for software developers in our 2025 predictions for software development.

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Building Evolvable Architectures

Speaker: Dr. Rebecca Parsons, CTO of ThoughtWorks

The software development ecosystem exists in a state of dynamic equilibrium, where any new tool, framework, or technique leads to disruption and the establishment of a new equilibrium. The connection between software architecture and team structure. Tuesday January 12th, 2021 at 11AM PST, 2PM EST, 7PM GMT.

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.

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How AI and ML Can Accelerate and Optimize Software Development and Testing

Speaker: Eran Kinsbruner, Best-Selling Author, TechBeacon Top 30 Test Automation Leader & the Chief Evangelist and Senior Director at Perforce Software

It's no secret that CTOs need to have a full understanding if they want to be successful, but does that make them responsible for developer productivity? While advancements in software development and testing have come a long way, there is still room for improvement.

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The Advantages of Free and Open-Source Software Vs. Open-Core Software

Instaclustr commissioned Forrester Consulting to conduct a custom study to assess application development decision-makers’ understanding of the benefits of using open-core software vs. free and open source software (FOSS). Check out the findings!

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9 Developer Enablement Practices to Achieve DevOps at Enterprise Scale

In this eBook, Christian Oestreich, a senior software engineering leader with experience at multiple Fortune 500 companies, shares how a metrics-driven mindset can dramatically improve software quality and enable DevOps at enterprise scale.

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Building Like Amazon

Speaker: Leo Zhadanovsky, Principal Solutions Architect, Amazon Web Services

Amazon's journey to its current modern architecture and processes provides insights for all software development leaders. To get there, Amazon focused on decomposing for agility, making critical cultural and operational changes, and creating tools for software delivery. The "two pizza" team culture.

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An Adult Conversation About Estimates

Speaker: Beekey Cheung, Software Consultant, Professor Beekums, LLC

Estimates are a contentious topic in software development. Most of our development teams hate providing estimates and many managers are starting to view them as unnecessary. As senior software leaders, how can we determine whether estimates are helpful or harmful to our teams?

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The Engineering Leader's Guide to Empowering Excellence With Data

Create the Optimal Environment for Developer Success. A software engineering team is most commonly measured by its outputs — the quality of the code delivered and the speed at which it was shipped. Yet the first step to achieving success is the inputs; leaders need to create an environment that enables developers to excel.