Discover an easy Introduction to the Software Development Life Cycle (SDLC) in this video! Aleksandr Gushchin, a Delivery Manager for big clients, breaks down the SDLC in software engineering with a simple, clear approach. Learn the fundamentals, explore SDLC models, and uncover best practices that drive engineering excellence.

In just 40 minutes, you'll get a simplified overview—from "What is Software Development Life Cycle" to "Software Engineering Best Practices You Should Follow" and "What AI tools should Developers use?". See how agile methods and AI help senior programmers write better code, deliver business value faster, and reduce costs. If you're looking for a straightforward guide to the software development lifecycle, this video is a must-watch!

COURSES BY ENGX

👉 Software Delivery Cost Optimizer: https://aw.club/global/en/courses/engx-code-review

👉 EngX Code Review: https://aw.club/global/en/teams/software-delivery-cost-optimizer

NAVIGATION

0:00 Intro

1:19 Fundamentals of SDLC

3:01 Enhancing Efficiency in SDLC

4:27 Reducing Costs and Avoiding Waste

5:09 Importance of Market Research in SDLC

6:33 Initial Phases of SDLC

7:50 Solution Design and Custom Development

8:52 Implementation and Testing of Solutions

10:10 Ensuring High-Quality Development Standards

11:02 Effective Communication and Documentation

12:13 Managing Known and Stable Project Scopes

13:25 Application of Agile in Predictable Environments

14:19 Factory Model in Software Development

15:09 Handling Dynamic Project Environments

16:15 Strategy and Management in Unfamiliar Situations

17:09 Experimentation and Proof of Concept in SDLC

18:23 Importance of Clear Requirements and Testing

19:17 Enhancing Developer Focus and Testing

20:09 Quality Gates and Development Output

21:10 Addressing and Managing Technical Debt

22:10 Improving Performance with Quality Initiatives

23:32 Role of Unit Testing in Quality Assurance

24:24 Continuous Quality and Assurance Practices

25:24 Shift-Left Approach in Testing

26:05 Analyzing and Optimizing Delivery Pipelines

27:26 Role of AI in Streamlining SDLC Processes

28:52 Choosing the Right Management Methodology

30:10 Efficiency of Regression Testing and Automation

31:38 Agile and Continuous Delivery in Complex Projects

33:18 Advantages of Kanban and Continuous Delivery

34:26 Evaluating and Improving SDLC Processes

35:44 Reworking Tasks for Testability and Independence

37:14 Code Documentation and Traceability

38:20 Developer's Role in Business Value Delivery

39:27 Reducing Maintenance Costs through Quality Assurance

40:29 Utilizing AI for Routine Task Automation

41:37 Enhancing SDLC with Quality Gates

42:33 Implementing Advanced Security and Analysis Tools

43:48 AI Assistance in Development and Testing

45:23 Leveraging AI for Testing and Quality Improvement

47:26 Encouraging Continuous Learning and Engagement

47:26 Final words

WHERE TO WATCH US AND LISTEN

🔸 YouTube: https://youtu.be/3ADcI14kiNM

🔸 Google Podcasts: https://bit.ly/awclub-en-google

🔸 Apple Podcasts: https://bit.ly/awclub-en-apple

🔸 Spotify: https://bit.ly/awclub-en-spotify

🔸 Download mp3: https://anywhereclub.simplecast.com/episodes/34

#engx #sdlc #engineering

In this episode of "Interview Anywhere," we explore data structures and algorithms coding interview questions and answers. This episode will be helpful for beginners as well as for experts with more than four years of experience. Watch as Pratik Jagtap, our candidate, solves coding challenges and handles in-depth questions from our expert interviewer, Saurabh Shekhar.

NAVIGATION

00:00 Intro

01:14 Introduction of participant

02:31 Theoretical part 1

02:54 ArrayList vs LinkedList

05:11 Internal HashMap

09:23 Quick Sort vs Merge Sort

11:47 Building a Leaderboard

15:07 Solving the Leaderboard Problem

20:11 Optimizing Complexity

27:39 Implementation and Testing

34:30 Data Updates

42:42 Testing and Debugging

50:21 Reducing and Sorting Maps

01:00:19 Kadane’s Algorithm

01:09:07 Handling Negative Values

1:14:39 Feedback session

01:16:15 Expert verdict

01:18:17 Final Thoughts

COURSES BY ENGX

👉 Integrate GitHub Copilot and ChatGPT into your daily work for streamlined, efficient development. with course "AI for software Engineers on EngX": https://aw.club/global/en/courses/ai-supported-software-engineering

👉 Integrate a generative AI toolset into your product development processes to boost team performance with course "AI adoption for teams": https://aw.club/global/en/courses/generative-ai-adoption-for-engineering-teams

👉 Mini AI Workshop for Dev Teams: https://aw.club/global/en/courses/engx-ai-adoption-workshop

WHERE TO WATCH US AND LISTEN

🔸 YouTube: https://youtu.be/3Bgk8Mft00E

🔸 Apple Podcasts: https://bit.ly/awclub-en-apple

🔸 Spotify: https://bit.ly/awclub-en-spotify

🔸 Download mp3: https://anywhereclub.simplecast.com/episodes/33

#engx #mockinterview #dsa

In this insightful video, Viktor Vedmich, Senior Developer Advocate at AWS, delves into a suite of AWS services meticulously crafted for developers. He provides an in-depth exploration of Amazon Q, a generative AI-powered assistant designed to streamline development workflows. Viktor also introduces Amazon Q for Developers, an extension that offers advanced coding assistance, and Amazon Bedrock, a fully managed service that simplifies the creation and scaling of generative AI applications. This comprehensive guide is essential for developers aiming to leverage AWS's cutting-edge AI tools to enhance productivity and innovation.

NAVIGATION

0:00 Start

0:17 Generative AI

1:13 What kinds of AI-related services

does AWS provide for developers?

3:46 What is Amazon Q?

8:29 How can we start working with

Amazon Q Developer?

9:46 More about

Amazon Q Developer

and IDE integration?

11:28 How can you convince your boss

that Amazon Q is safe enough

to use on a project?

14:00 Final words

AI IN AWS

🔸 Amazon Bedrock: https://aws.amazon.com/bedrock

🔸 Amazon Q: https://aws.amazon.com/q/

🔸 Amazon Q for Developers: https://aws.amazon.com/q/developer/

COURSES BY ENGX

👉 Integrate GitHub Copilot and ChatGPT into your daily work for streamlined, efficient development. with course "AI for software Engineers on EngX": https://aw.club/global/en/courses/ai-supported-software-engineering

👉 Integrate a generative AI toolset into your product development processes to boost team performance with course "AI adoption for teams": https://aw.club/global/en/courses/generative-ai-adoption-for-engineering-teams

👉 Mini AI Workshop for Dev Teams: https://aw.club/global/en/courses/engx-ai-adoption-workshop

WHERE TO WATCH US AND LISTEN

🔸 YouTube: https://youtu.be/0kXQHpaVLFM

🔸 Apple Podcasts: https://bit.ly/awclub-en-apple

🔸 Spotify: https://bit.ly/awclub-en-spotify

🔸 Download mp3: https://anywhereclub.simplecast.com/episodes/32

#awclub #engx #ai