The EQengineered team shares their predictions for 2025.
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There is a lot of confusion about how useful Generative AI is in coding. Some say it’s a complete game-changer, and programmers either need to use it or eventually be replaced. Others, particularly senior developers, disagree strongly, only conceding a limited amount of tactical uses for repetitive tasks. Surveys have produced wildly different results for organizations. Some claim small improvements, while others claim extraordinary time savings.
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The evidence that generative AI cannot reason like humans is not at all a bad thing for the potential of software development. We probably do not want coding assistants to be just like human programmers.
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Many senior developers have seen code quality decrease and tech debt increase when code is written too quickly and without proper reviews, even though “it works.” We must start thinking about the consequences of using AI to write it far faster, and what we will do if developers cannot improve their skills enough through coding tasks alone.
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The EQengineered team attended Forrester’s Technology & Innovation Summit North America 2024 in Austin, Texas last week. Below are 5 key take aways from the event.
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In the rapidly evolving landscape of database management systems (DBMS), one constant has emerged: despite the introduction of numerous new technologies and data models, relational database management systems (RDBMS) have maintained their dominance.
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Instead of feeling frustration with different approaches, embrace the strengths of looking at problems different ways. As a bonus, once all players know their concerns or energy are being absorbed, personality differences can lead to some of the most successful collaborations.
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EQengineered’s Generative AI (GAI) Strategic Alignment Workshop helps organizations gain a common understanding of the GAI landscape, industry best practices, prompt writing, use cases, prioritization and return on investment.
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From time-to-onboarding to time-to-value, EQengineered is obsessed about partnering with our clients to efficiently move the digital maturity needle.
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An important potential obstacle to digital modernization is the change in team social dynamics that accompanies a transition away from waterfall towards Agile software development.
As teams maintain and modernize digital resources, it is very likely that they will at some point implement a form of ‘Agile hybrid’ approach. This is a logical and valuable step toward identifying a modern project management solution that fits the team’s specific needs. But transitioning to Agile Scrum project management can put pressure on team members. This shift in methodology requires not just learning new tools and adopting a very different day-to-day rhythm, but also means that every team member needs to redefine their relationships and interactions with their colleagues. This transition can be especially difficult because of the social expectations that accompany a team’s Agile transition.
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Understanding key differences between IQueryable and IEnumerable can save future you many hours of performance tuning
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Data and its applications have never been more under the microscope than today. The promise of AI and the never-ending drive to insights and reporting fidelity take the spotlight, but applications of these technologies rapidly focus technology leaders back to the less glamorous counterpart: data quality.
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