GenAI enhances software development productivity by 90%... or is it really closer to 15%? Or 10%? 🔎 In a recent GenAI experiment, our very own Alexey Girzhadovich, Chief Delivery Officer at Exadel, measured the true impact of GenAI on productivity in software development. Here’s how he did it: He chose four project teams with stable team compositions and stable processes to run the 90-day experiment. 🔺 Software engineers were given ChatGPT (with GPT4 Turbo) and GitHub Co-pilot 🔺 Specialists who do not code, like product owners and scrum masters, were only given ChatGPT Here is an example of how we tracked the metrics end-to-end ⤵️ 💡 Overall, the teams managed to increase output by 18% over a period of six two-week sprints. This is evidenced in the additional 181 issues that were resolved during this time. 👉 Read more about the experiment’s details and results in our recent article: https://lnkd.in/dtec7nTM
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GenAI enhances software development productivity by 90%... or is it really closer to 15%? Or 10%? 🔎 In a recent GenAI experiment, our very own Alexey Girzhadovich, Chief Delivery Officer at Exadel, measured the true impact of GenAI on productivity in software development. Here’s how he did it: He chose four project teams with stable team compositions and stable processes to run the 90-day experiment. 🔺 Software engineers were given ChatGPT (with GPT4 Turbo) and GitHub Co-pilot 🔺 Specialists who do not code, like product owners and scrum masters, were only given ChatGPT Here is an example of how we tracked the metrics end-to-end ⤵️ 💡 Overall, the teams managed to increase output by 18% over a period of six two-week sprints. This is evidenced in the additional 181 issues that were resolved during this time. 👉 Read more about the experiment’s details and results in our recent article: https://lnkd.in/dtec7nTM
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How are you using GenAI? Let's talk!
GenAI enhances software development productivity by 90%... or is it really closer to 15%? Or 10%? 🔎 In a recent GenAI experiment, our very own Alexey Girzhadovich, Chief Delivery Officer at Exadel, measured the true impact of GenAI on productivity in software development. Here’s how he did it: He chose four project teams with stable team compositions and stable processes to run the 90-day experiment. 🔺 Software engineers were given ChatGPT (with GPT4 Turbo) and GitHub Co-pilot 🔺 Specialists who do not code, like product owners and scrum masters, were only given ChatGPT Here is an example of how we tracked the metrics end-to-end ⤵️ 💡 Overall, the teams managed to increase output by 18% over a period of six two-week sprints. This is evidenced in the additional 181 issues that were resolved during this time. 👉 Read more about the experiment’s details and results in our recent article: https://lnkd.in/dtec7nTM
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GenAI promises to improve software development productivity by 90%.... or is the real impact closer to 15%, or even 10%? In a recent experiment led by our Chief Delivery Officer, Alexey Girzhadovich, we set out to measure GenAI's true impact on software development productivity at Exadel. This is how we conducted the experiment: We selected four project teams with stable compositions and processes to participate in a 90-day experiment. ▸ Software engineers were equipped with ChatGPT (using GPT-4 Turbo) and GitHub Copilot. ▸ Non-coding specialists, such as product owners and scrum masters, were provided with ChatGPT. As a result, the teams saw an 18% increase in output over six two-week sprints, evidenced by resolving 181 additional issues during this period. For a detailed breakdown of the experiment and its results, read our article: https://lnkd.in/dGPM2mRr
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How We Leverage AI to Supercharge Software Engineering - Explore the revolutionary impact of AI on software development with Nimble Gravity's insights. Learn how ChatGPT and GitHub Co-pilot enhance code quality, streamline the development lifecycle, and save 40-60% of project time. From tailored AI assistance for junior developers to advanced problem-solving and deployment, AI is not just a tool—it's a game-changer in tech innovation. https://hubs.ly/Q02k0Ytc0
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Valuable insights on Gen AI in SDLC process.
#2023TopContent #EPAMHolidayReads -- In the next evolution of #SoftwareEngineering, human experts within the SDLC are not going anywhere. If anything, they’ll need to become evolved experts who can responsibly and securely harness #GenerativeAI. Here's what you need to address now and what you need to consider for your future in software engineering. 👉 https://epamsys.co/3S9aGh4 #ArtificialIntelligence #SoftwareInnovation
AI-Accelerated Innovation: The Next Evolution of Software Engineering
epam.com
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#2023TopContent #EPAMHolidayReads -- In the next evolution of #SoftwareEngineering, human experts within the SDLC are not going anywhere. If anything, they’ll need to become evolved experts who can responsibly and securely harness #GenerativeAI. Here's what you need to address now and what you need to consider for your future in software engineering. 👉 https://epamsys.co/3S9aGh4 #ArtificialIntelligence #SoftwareInnovation
AI-Accelerated Innovation: The Next Evolution of Software Engineering
epam.com
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Here is my colleagues' blog about #genai and #testing with #robotframework. When using GenAI as a part of your software development, you better make sure that your QA is in order! But is there a better way than using GenAI to get started? https://lnkd.in/eNMqQ2zr
AI with Robot Framework
eficode.com
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AI-augumented software development might be a "next big thing" and make writing code faster. However, this alone won't make software engineering faster if your testing and release processes alow for monthly releases only (or worse!). Different surveys show different values, but on average it appears that developers spend 2 hours per day coding. This is the only area for improvement for LLMs. The rest of the time they spend on manual procedures, manual testing, meetings, ceremonies etc. If you improve coding only, developers will just create more code waiting for release. #Agile #AI #LLM #Copilot #SoftwareEngineering (Image AI-generated, opinions mine)
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Rediscover our spectacular Crash Course on GenAI for software development! Our experts are running an AI project in parallel with another real customer project that aims to achieve the same results using our standard modern agile approaches to software development. Watch the recording to find out more: https://brnw.ch/21wL5Wk #ImpactThatLasts #SolitaLife #GenAI #GenerativeAI #SoftwareDevelopment
Crash Course on GenAI for software development
solita.fi
Impressive methodology! Alexey Girzhadovich's experiment at Exadel underscores the nuanced impact of GenAI on software development productivity. By integrating ChatGPT and GitHub Co-pilot, the teams achieved an 18% increase in output across defined sprints, showcasing tangible results with 181 additional resolved issues. A testament to innovation in team dynamics and tool utilization.