Dipping Project Timelines

LLMs aren’t aware of AI Coding Assistants’ Impact on Development Time

by BlogUncategorized

In recent months, AI-powered coding assistants like GitHub Copilot, Cursor, and Bolt have dramatically transformed software development timelines. As someone deeply interested in the intersection of AI and software development, I conducted a fascinating experiment to test whether Large Language Models (LLMs) accurately reflect this shift in their project timeline estimates.

I chose to develop a virtual try-on application for dresses as my test case. The application allows users to see how they would look wearing a particular dress without physically trying it on. I presented identical project requirements to various LLMs, explicitly mentioning that the development would utilize AI coding assistants.

The results were eye-opening: While I completed the project in approximately 20 hours (spread across four days, working 4-5 hours daily), the LLMs consistently overestimated the development time. Even Claude AI, which provided the closest estimate, suggested 14-17 days – over five times the actual duration. Other LLMs estimated even longer timelines, with some suggesting up to 35 days.

This experiment reveals a significant gap: Despite being trained on recent data, LLMs seem to lack awareness of how AI coding assistants have accelerated development timelines. This insight has important implications for project planning in the modern development landscape.

You can view my complete article in LinkedIn, which includes specific LLM responses and a look at the actual virtual try-on application I developed along with link to my GitHub code by going to https://lnkd.in/gharGk_S

Comparison Graphic

Comparison between Autogen, CrewAI and Langraph

by BlogTech

Comparison Report: Autogen, CrewAI, and Langraph

Autogen

Autogen is a powerful tool that specializes in automating the generation of program files. It is known for its ability to handle complex tasks and produce high-quality outcomes. Some of its key features include a versatile and flexible configuration, a user-friendly interface, and robust functionality.

One of the main strengths of Autogen is its ability to significantly reduce the time and effort required to generate program files. This is particularly useful for large scale projects where manual generation can be time-consuming and error-prone. In addition, Autogen’s user-friendly interface and comprehensive documentation make it accessible to users of all levels of expertise.

Despite its strengths, Autogen also has its weaknesses. One of the main drawbacks is its steep learning curve, particularly for users who are not familiar with automated program file generation. Furthermore, its reliance on specific software dependencies can make it challenging to integrate into certain development environments.

CrewAI

CrewAI is an innovative platform that leverages artificial intelligence and machine learning to drive operational efficiency. Its key features include predictive analytics, process automation, and data-driven insights.

CrewAI’s main strength lies in its ability to leverage AI and machine learning to provide actionable insights and automate processes. This allows organizations to streamline their operations, improve productivity, and make data-driven decisions.

However, CrewAI’s reliance on AI and machine learning can also be a weakness. The quality of its insights and the effectiveness of its automation largely depend on the quality and quantity of the data it is fed. Furthermore, its advanced technology can be complex to understand and utilize effectively, particularly for users without a background in AI or machine learning.

Langraph

Langraph is a tool that provides a visual representation of language structures. It is particularly useful for linguists, language learners, and researchers. Its features include the ability to analyze and visualize various aspects of languages, including phonetics, grammar, and semantics.

Langraph’s strengths include its user-friendly interface, its versatile analysis capabilities, and its ability to visualize complex language structures in an intuitive and understandable manner.

On the downside, Langraph may not be suitable for all users. Its focus on language structures means it may not be as useful for users interested in other aspects of language study. Furthermore, its functionality can be limited when dealing with less commonly studied languages.

Sources: Unfortunately, the URLs for the sources of these data points could not be found.

The contents of this post are auto generated using AI tools

The Growing Influence of AI in Business and Technology

by Blog
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  • Can AI Transform Small Businesses? Nashville Thinks SoThe Nashville Area Chamber of Commerce’s annual meeting focused on demystifying AI technology for its small business members. While generative AI’s adoption is growing, only about 5% of companies nationwide are using it. Economists predict its measurable impact on the economy will be seen over a five-year horizon.This development is crucial as it highlights the efforts to bridge the technology gap for small businesses, potentially leading to increased productivity and competitiveness in local economies. It showcases a proactive approach to integrating AI into everyday business operations, which could serve as a model for other regions.Read more:
  • Apple Partners with OpenAI to Revolutionize User ExperienceApple announced a suite of generative AI tools across its devices and signed a deal with OpenAI to integrate ChatGPT into Siri and other applications. The new “Apple Intelligence” system aims to provide personalized, context-aware assistance. This partnership signifies a major leap in consumer technology, potentially enhancing user experience across millions of devices. It also underscores the competitive dynamics in the tech industry, with significant implications for privacy and security standards.Read more:
  • SingularityNET CEO Predicts Superintelligence SoonBen Goertzel, CEO of SingularityNET, predicts that superhuman superintelligence could be achieved within a few years. The Artificial Superintelligence Alliance, including SingularityNET, Fetch.ai, and Ocean Protocol, is working to develop decentralized superintelligence despite a temporary delay in their token merger.The prediction of imminent superintelligence raises significant questions about the future of AI and its impact on society. It highlights the rapid pace of AI development and the potential for transformative technological breakthroughs.Read more:
  • OpenAI Expands Global Affairs Team to Navigate AI LegislationOpenAI has significantly expanded its global affairs team to influence AI legislation and ensure compliance with evolving regulations. This strategic positioning is crucial as governments worldwide develop AI-related laws and policies.As AI technology rapidly evolves, the expansion of OpenAI’s global affairs team ensures that the company remains at the forefront of legislative discussions, helping shape the future regulatory landscape of AI.Read more:
  • The Dual Nature of AI: Promise and PerilThe article discusses the dual nature of AI’s impact, highlighting both its potential to enhance productivity and quality of life and its disruptive dangers. From a U.S. national security perspective, the race to harness AI for intelligence gathering is intensifying.Understanding the dual nature of AI is essential for developing balanced policies that maximize benefits while mitigating risks. This perspective is vital for both policymakers and the public as AI becomes more integrated into daily life.Read more:
  • GPT-5: Revolutionizing AI with Enhanced Memory and ReasoningMicrosoft CTO Kevin Scott revealed that GPT-5 will feature more durable memory and robust reasoning operations, enabling it to pass Ph.D. exams. This improvement addresses the current limitation of AI systems, which often forget previous interactions.The advancements in GPT-5 represent a significant step forward in AI capabilities, potentially transforming various fields that rely on complex reasoning and long-term memory.Read more:
  • DeepMind’s AI for Video Soundtracks Still in DevelopmentDeepMind is working on an AI technology that can generate synchronized soundtracks from video pixels. However, the current results are not convincing, and there are no immediate plans for a public release.This research highlights the ongoing challenges in creating AI that can perform complex creative tasks. It underscores the importance of continued innovation and experimentation in the field of AI.Read more:
  • Apple and OpenAI Forge Strategic PartnershipApple and OpenAI have partnered to integrate ChatGPT into Apple’s ecosystem without financial transactions between the companies. This partnership aims to leverage AI to enhance Apple’s devices and services.This partnership highlights a new model of strategic collaboration in the tech industry, focusing on mutual benefit through technological integration rather than direct financial gain.
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