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This AI Paper Introduces a Comprehensive Framework for LLM-Driven Software Engineering Tasks

Marktechpost

Software engineering integrates principles from computer science to design, develop, and maintain software applications. As technology advances, the complexity of software systems increases, creating challenges in ensuring efficiency, accuracy, and overall performance.

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Meet Devin: The World’s First Fully Autonomous AI Software Engineer

Marktechpost

The groundbreaking development in artificial intelligence has led to the creation of Devin by Cognition AI , the world’s first autonomous AI software engineer. This unique creation marks a significant leap forward in software engineering, setting a new benchmark in the SWE-Bench coding benchmark.

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Microsoft AutoGen: Multi-Agent AI Workflows with Advanced Automation

Unite.AI

This library is for developing intelligent, modular agents that can interact seamlessly to solve intricate tasks, automate decision-making, and efficiently execute code. Code Execution and Automation Unlike many AI frameworks, AutoGen allows agents to generate, execute, and debug code automatically.

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Building Scalable AI Pipelines with MLOps: A Guide for Software Engineers

ODSC - Open Data Science

These challenges range from managing large datasets to automating model deployment and monitoring for performance drift. So let’s explore how MLOps for software engineers addresses these hurdles, enabling scalable, efficient AI development pipelines. But first, let’s get a quick overview of the MLOps lifecycle.

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New Study: 2018 State of Embedded Analytics Report

Why do some embedded analytics projects succeed while others fail? We surveyed 500+ application teams embedding analytics to find out which analytics features actually move the needle. Read the 6th annual State of Embedded Analytics Report to discover new best practices. Brought to you by Logi Analytics.

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How software engineering will evolve in 2024

Flipboard

Software development is currently undergoing a profound transformation, marked by a quiet yet remarkable surge in advanced automation. This impending …

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Salesforce AI Research Proposes DEI: AI Software Engineering Agents Org, Achieving a 34.3% Resolve Rate on SWE-Bench Lite, Crushing Closed-Source Systems

Marktechpost

Software engineering has undergone this large transformation to automate tasks, particularly through large language models. This may concern generating code or tests checking for bugs, an activity traditionally done by human engineers. resolve rate and a 55% peak performance on SWE-Bench Lite.