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As executive teams put more pressure on internal teams to speed digital transformation in 2021, how will softwaredevelopers respond? Find out in our 2021 predictions for softwaredevelopment.
AI assistants are only the beginning of the generative AI softwaredevelopment revolution. Find out what’s in store for softwaredevelopers in our 2025 predictions for softwaredevelopment.
Softwaredevelopers have a new partner. AI-augmented development provides tools and platforms developers can use to create innovative apps quickly and efficiently.
Has the promise of improved efficiency through AI been realized in softwaredevelopment? Is there still a place for citizen developers with AI in the development cycle?
The softwaredevelopment 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.
Past and future technologies and paradigms shifts like Agile, DevOps, low-code, and even AI have been reshaping the softwaredevelopment world. The softwaredevelopment lifecycle (SDLC), is being accelerated and reimagined as a process happening in real-time. We’ve tried Agile, DevSecOps and LowCode, Now What?
It’s already making an impact in softwaredevelopment processes. Adoption of artificial intelligence isn’t just about learning from customer data or supporting line workers.
Thanks to TuringBots (AI and generative AI for softwaredevelopment), softwaredevelopment is on the cusp of a transformative change, one that promises to redefine the way development teams collaborate, create, and deploy applications.
As we outlined in previous research, Generative AI assistants known as TuringBots can serve as powerful tools to address some of the broader softwaredevelopment challenges. Specifically they help to automate a wide range of tasks throughout the softwaredevelopment life cycle (SDLC).
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 softwaredevelopment and testing have come a long way, there is still room for improvement.
Andreessen Horowitz held a panel with three of its portfolio companies -- Luma, Mistral AI, and Pinecone -- for a chat about ways AI changes softwaredevelopment.
With the persistence of security issues in softwaredevelopment, there is an urgent need for softwaredevelopment companies to prioritize security in the softwaredevelopment life cycle. The post Best ways to incorporate security into the softwaredevelopment life cycle appeared first on TechRepublic.
In 2024, softwaredevelopers will have to adapt to the rise of TuringBots, ajar source, and Backstage in the development cycle. Learn more in our 2024 predictions for softwaredevelopment.
TuringBots Forrester has branded AI and generative AI for softwaredevelopment as TuringBots since its inception in 2020. The good news is that generative AI (genAI) has advanced the maturity of TuringBots by at least five to 10 years. So how has genAI changed the state of TuringBots today in the market?
Speaker: Leo Zhadanovsky, Principal Solutions Architect, Amazon Web Services
Amazon's journey to its current modern architecture and processes provides insights for all softwaredevelopment 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.
Softwaredevelopment is a challenging discipline built on millions of parameters, variables, libraries, and more that all must be exactly right. Still, it’s impossible to list the endless innovations that software alone has made possible. Over the years software teams have figured out a few rules for getting the job done.
Research shows the bottom-line benefits from women and a diverse workforce in softwaredevelopment. Diversity seems to have taken a step back in the tech sector.
Generative AI is already having an impact on multiple areas of IT, most notably in softwaredevelopment. Still, gen AI for softwaredevelopment is in the nascent stages, so technology leaders and software teams can expect to encounter bumps in the road.
It’s now landed on the softwaredevelopment planet, as well. No worries, and let’s be clear, if you are a designer, a developer, […]. (with Mike Gualtieri and Merve Kandemir) AI has been conquering the digital universe and all its planets. It already did so a few years ago, but now it’s about to take off.
As enterprises evolve their AI from pilot programs to an integral part of their tech strategy, the scope of AI expands from core data science teams to business, softwaredevelopment, enterprise architecture, and IT ops teams.
Softwaredevelopers are in demand. They must be developer-friendly because softwaredevelopment 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.
Research shows the bottom-line benefits from women and a diverse workforce in softwaredevelopment. Diversity seems to have taken a step back in the tech sector.
Generative AI is poised to redefine software creation and digital transformation. The traditional softwaredevelopment life cycle (SDLC) is fraught with challenges, particularly requirement gathering, contributing to 40-50% of project failures. advertising, marketing, or softwaredevelopment).
To better understand the factors behind the decision to build or buy analytics, insightsoftware partnered with Hanover Research to survey IT, softwaredevelopment, and analytics professionals on why they make the embedded analytics choices they do.
At the same time, developers are scarce, and the demand for new software is high. This has spurred interest around understanding and measuring developer productivity, says Keith Mann, senior director, analyst, at Gartner. Organizations need to get the most out of the limited number of developers they’ve got,” he says.
A focus on sustainable softwaredevelopment could help lower the carbon footprint of IT, but questions remain as to how sustainability could be measured.
Developers unimpressed by the early returns of generative AI for coding take note: Softwaredevelopment 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.
Speaker: Beekey Cheung, Software Consultant, Professor Beekums, LLC
Estimates are a contentious topic in softwaredevelopment. 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?
Will designing tools and workflows to bring self-service to softwaredevelopment help developers work more efficiently? A growing number of adopters think so.
Identity and access management is pushing application security past single-factor authentication (a password) and even multi-factor authentication to a risk management model says Ping Identity CEO.
Specifically, organizations are contemplating Generative AI’s impact on softwaredevelopment. While the potential of Generative AI in softwaredevelopment is exciting, there are still risks and guardrails that need to be considered. Therefore, the technology will only be as good as the data provided.
As all organizations recognize they are (at least in part) software companies, questions arise. Which softwaredevelopment technologies have staying power? Forrester studied 18 technologies used in softwaredevelopment that have […] Which are just a flash in the pan?
Speaker: Mickey Mantle, Founder and CEO at Wanderful Interactive Storybooks | Ron Lichty, Consultant: Interim VP Engineering, Author, Ron Lichty Consulting, Inc.
In order to be successful at delivering software, organizations need to become data-driven. And in the era of agile, which recognizes that softwaredevelopment is a team sport, performance reviews need to use data for programmer growth and to give focus to business results.
A report by GitLab finds that AI and ML in softwaredevelopment workflows show promise, but challenges like toolchain complexity and security concerns persist. The post DevSecOps: AI is reshaping developer roles, but it’s not all smooth sailing appeared first on TechRepublic.
Despite the uncertain economic climate and continued layoffs, competition for skilled developers will remain high. Recently, there has been a major shift in […]
In most successful organizations, softwaredevelopers align their goals with the goals of the business. Instead, where you sit in the organization determines how you believe development teams should succeed. In an analysis of Forrester’s developer survey data, we found that: C-levels and middle managers know […]
Despite mixed early returns , the outcome appears evident: Generative AI coding assistants will remake how softwaredevelopment teams are assembled, with QA and junior developer jobs at risk. AI will handle the rest of the softwaredevelopment roles, including security and compliance reviews, he predicts. “At
Using SEI tools, dev leaders can optimize their softwaredevelopment processes while improving the developer experience. The market growth in SEI tools directly corresponds to the explosive use of genAI TuringBots, commonly referred to as copilots for softwaredevelopment.
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