This document summarizes an agenda for a talk on TypeScript and test-driven development. It introduces TypeScript, discusses test-driven development principles and code katas. It then outlines doing a string calculator kata with TypeScript, Visual Studio and Jasmine as an example. The speaker is introduced as a technical lead who enjoys test-driven development, software architecture and TypeScript.
GDSC USICT organized an “INFO SESSION”. In this event the leads of all the teams introduced themselves to all the students and informed them about the benefits of joining GDSC. Leads gave students a broad idea about the technologies they would be working on and how it would help the students to solve real-life problems of society and to grow themselves.
Slides for my talk at OpenSlava conference 2013-10-11.
Abstract: Integrated Development Environments are at the neuralgic centre of developer activities. For many of us it’s unconceivable to work in complex developments leveraging multiple heterogeneous tools for design, build and test activities without the IDE connecting them all.
IDEs are powerful tools, capable of handling many types of tasks. In many cases, IDEs are perceived as a commodity but this is a naïve approach that ignores the many brilliant features that IDEs can be used for: debugging, code generation, test automation, version control, quality assurance, task & issue management, etc.
During this talk, participants will get an overview of what IDEs mean today, for the newbie, the enterprise and the hard-core developer, will get introduced to key IDE features that every one of us should be using, and will participate on an open discussion about what next-generation IDEs should look like.
Behavior Driven Development (BDD) is an agile development approach that involves writing requirements as testable scenarios described using a domain-specific language. These scenarios guide software development and ensure the developed code matches the described behaviors. BDD helps align development with stakeholder needs, verifies requirements and code through continuous integration, and makes software more robust by describing its behavior in two ways - through code and scenarios. While BDD requires extra documentation in scenarios, it helps focus development and prevents bugs caused by changes.
Best 5 Swift IDEs and Code Editors for Your Next iOS Project.pdfExpert App Devs
"Unlock your iOS project's potential with the best Swift IDEs and code editors at your fingertips! 📱✨ Elevate your coding experience, boost productivity, and watch your ideas come to life. 🚀 Which one will become your new favorite?
Video and slides synchronized, mp3 and slide download available at URL http://bit.ly/2Gtedjh.
Szczepan Faber talks about two different use cases of implementing continuous delivery at scale: LinkedIn and Mockito. Yet the challenges, benefits and impact on the engineering culture are very similar. Filmed at qconsf.com.
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This document summarizes an agenda for a talk on TypeScript and test-driven development. It introduces TypeScript, discusses test-driven development principles and code katas. It then outlines doing a string calculator kata with TypeScript, Visual Studio and Jasmine as an example. The speaker is introduced as a technical lead who enjoys test-driven development, software architecture and TypeScript.
GDSC USICT organized an “INFO SESSION”. In this event the leads of all the teams introduced themselves to all the students and informed them about the benefits of joining GDSC. Leads gave students a broad idea about the technologies they would be working on and how it would help the students to solve real-life problems of society and to grow themselves.
Slides for my talk at OpenSlava conference 2013-10-11.
Abstract: Integrated Development Environments are at the neuralgic centre of developer activities. For many of us it’s unconceivable to work in complex developments leveraging multiple heterogeneous tools for design, build and test activities without the IDE connecting them all.
IDEs are powerful tools, capable of handling many types of tasks. In many cases, IDEs are perceived as a commodity but this is a naïve approach that ignores the many brilliant features that IDEs can be used for: debugging, code generation, test automation, version control, quality assurance, task & issue management, etc.
During this talk, participants will get an overview of what IDEs mean today, for the newbie, the enterprise and the hard-core developer, will get introduced to key IDE features that every one of us should be using, and will participate on an open discussion about what next-generation IDEs should look like.
Behavior Driven Development (BDD) is an agile development approach that involves writing requirements as testable scenarios described using a domain-specific language. These scenarios guide software development and ensure the developed code matches the described behaviors. BDD helps align development with stakeholder needs, verifies requirements and code through continuous integration, and makes software more robust by describing its behavior in two ways - through code and scenarios. While BDD requires extra documentation in scenarios, it helps focus development and prevents bugs caused by changes.
Best 5 Swift IDEs and Code Editors for Your Next iOS Project.pdfExpert App Devs
"Unlock your iOS project's potential with the best Swift IDEs and code editors at your fingertips! 📱✨ Elevate your coding experience, boost productivity, and watch your ideas come to life. 🚀 Which one will become your new favorite?
Video and slides synchronized, mp3 and slide download available at URL http://bit.ly/2Gtedjh.
Szczepan Faber talks about two different use cases of implementing continuous delivery at scale: LinkedIn and Mockito. Yet the challenges, benefits and impact on the engineering culture are very similar. Filmed at qconsf.com.
Szczepan Faber is a Tech Lead for LinkedIn Development Tools, responsible for developer productivity at LinkedIn. Previously, he was core engineer of Gradle 1.x and 2.x. and instructed numerous classes on build automation. He created Mockito framework in 2007, currently estimated user base of 2M, and has been giving classes on automated testing since.
These slides were used to teach the module "Introduction to Agile Software Development & Python" as a sub-section of the major course "Software Engineering" for the 3rd year undergraduates of the Department of Computer Engineering, University of Peradeniya in 2010.
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Learn how continuous deployment can improve your organization's productivity. Learn about challenges, differences and similarities of CD at LinkedIn (large scale enterprise) and Mockito (OSS software library with huge user base).
More details: http://bit.do/qcon-cd-abstract
Google slides: http://bit.do/qcon-cd-gslides
Presentation abstract as in QCon session catalog:
LinkedIn and Mockito are two different use cases of implementing continuous delivery at scale. Yet the challenges, benefits and impact on the engineering culture are very similar.
In 2015, LinkedIn’s flagship application adopted a continuous delivery model we called 3x3: deploy to production 3 times a day, with a 3 hour maximum time from commit to production. At LinkedIn scale - hundreds of engineers building products for 500M users - implementing 3x3 was really hard. How did 3x3 change LinkedIn engineering culture and what we have learned on the way?
Mockito is a top 3 Java library with ~2M users. Even with that large user base, since 2014, the Mockito project has taken the surprising approach of publishing a new version of the library from every single pull request. This approach is challenging and innovative in the Java community, and Mockito leverages Shipkit to ship every change to production. Why did the Mockito team adopt continuous delivery in 2014 and what we have learned to date?
Join and learn from Szczepan Faber, the maker of Mockito framework since 2007, and the tech lead of LinkedIn Development Tools since 2015.
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1. Agile development and Extreme Programming (XP) are methodologies that focus on iterative development, collaboration, and adaptability.
2. XP consists of 12 key practices including simple design, test-driven development, pair programming, and small releases. It aims to improve quality, reduce risks, and adapt to changing requirements.
3. While XP works well for some projects and teams, its practices may not be suitable or flexible enough for all situations. Developers should understand the principles behind XP and tailor practices as needed for their specific projects.
With MPS you can design your own extensible DSLs and start using them right away to build end-user applications. Unique technology of projectional editing allows to overcome the limits of language parsers, and build much richer DSL editors, such as ones with tables and diagrams.
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The document discusses test driven development (TDD) in an agile environment. It covers topics like the agile manifesto, evolutionary design, TDD steps and philosophy, myths about TDD, test qualities, benefits and costs of TDD, plugins and language support. The author shares their experience with TDD, noting that it improved code quality and refactoring while requiring support from leads to be effective long-term. Acceptance TDD is recommended to ensure shared understanding of what is being built.
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- The software development process involves analysis, design, implementation, testing, and deployment of applications in an iterative manner using approaches like Waterfall or Agile.
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This document discusses how to spend less time debugging software by implementing quality practices up front. It recommends conducting peer code reviews, where another developer reviews code changes and provides feedback before integration. Code reviews are most effective when the author pre-reviews their own code and reviewers spend 30-60 minutes on each review. The document also advocates for establishing continuous integration processes using tools like Git, Gerrit and Jenkins to automatically build and test all code commits, making bugs easier to detect and fix early. Implementing these practices can help catch up to 90% of bugs during development rather than later on, saving significant costs.
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Feeling lost in the digital marketing whirlwind of 2024? Technology is changing, consumer habits are evolving, and staying ahead of the curve feels like a never-ending pursuit. This e-book is your compass. Dive into actionable insights to handle the complexities of modern marketing. From hyper-personalization to the power of user-generated content, learn how to build long-term relationships with your audience and unlock the secrets to success in the ever-shifting digital landscape.
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
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This document discusses Conversation-Driven Development (CDD) as a process for building conversational AI assistants. It describes CDD as involving six key actions: sharing prototypes with test users, reviewing user conversations, annotating conversations as training data, testing the assistant, tracking the success of conversations, and fixing issues found. CDD captures lessons learned from building conversational AI to help teams iteratively improve assistants based on user feedback. The document also promotes Rasa X as a tool that can help teams implement CDD through features like reviewing conversations, annotating data, and continuous integration testing.
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Learn how continuous deployment can improve your organization's productivity. Learn about challenges, differences and similarities of CD at LinkedIn (large scale enterprise) and Mockito (OSS software library with huge user base).
More details: http://bit.do/qcon-cd-abstract
Google slides: http://bit.do/qcon-cd-gslides
Presentation abstract as in QCon session catalog:
LinkedIn and Mockito are two different use cases of implementing continuous delivery at scale. Yet the challenges, benefits and impact on the engineering culture are very similar.
In 2015, LinkedIn’s flagship application adopted a continuous delivery model we called 3x3: deploy to production 3 times a day, with a 3 hour maximum time from commit to production. At LinkedIn scale - hundreds of engineers building products for 500M users - implementing 3x3 was really hard. How did 3x3 change LinkedIn engineering culture and what we have learned on the way?
Mockito is a top 3 Java library with ~2M users. Even with that large user base, since 2014, the Mockito project has taken the surprising approach of publishing a new version of the library from every single pull request. This approach is challenging and innovative in the Java community, and Mockito leverages Shipkit to ship every change to production. Why did the Mockito team adopt continuous delivery in 2014 and what we have learned to date?
Join and learn from Szczepan Faber, the maker of Mockito framework since 2007, and the tech lead of LinkedIn Development Tools since 2015.
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Software engineers are responsible for creating different software programs that power many technologies and applications we use everyday. There are many types and roles for software engineers, including developing applications, systems, security features, and ensuring quality. Becoming a software engineer involves obtaining a relevant degree, mastering programming skills, databases, algorithms, software engineering theory, and gaining experience through projects. Experience can then be used to find jobs through websites, recruiters, freelancing, or networking in local tech communities. The field continues to evolve, with growing opportunities in areas like cloud, AI, blockchain, and cybersecurity.
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3. While XP works well for some projects and teams, its practices may not be suitable or flexible enough for all situations. Developers should understand the principles behind XP and tailor practices as needed for their specific projects.
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- The software development process involves analysis, design, implementation, testing, and deployment of applications in an iterative manner using approaches like Waterfall or Agile.
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5. Meet Tom
● Mid-level Salesforce Developer
● Works for a small real estate firm
● He has been asked to write a new utility class
● So as a good SF developer he:
○ Checks out Trailhead for the best practices
○ Spends 1 day writing his class
○ Spends another day writing the test class and manages to get to 76% coverage
○ Whew! Job Done
6. Why Code Generation Matters
1. Code generation significantly boosts developer productivity
2. Code generation improves code quality and consistency
3. Code generation accelerates innovation and time-to-market
4. Code generation democratizes access to development skills
So, let’s have a look at some of the main code generation tools available to us
as developers today.
7. ChatGPT
What is it?
● A powerful large language model (LLM) chatbot developed by
OpenAI
● Can generate text, translate language , write different kinds of creative
content, and answer your questions in an informative way
● Generates creative, human-like code snippets
● Understands natural language instructions
● Can adapt to various coding styles and patterns
● Can provide inaccurate or misleading
code especially for complex Salesforce-
specific scenarios
● Requires careful validation before
deployment
● Still under development, reliability can be
inconsistent
Pros Cons
8. GitHub Copilot
What is it?
● AI-powered code suggestion tool developed by GitHub and
OpenAI
● Integrated directly into your code editor (e.g., VS Code)
● Suggests contextually relevant code in real-time
● "Learns" your coding style over time
● Works well for common, repetitive code
patterns
● Seamless VS Code integration
● May not grasp complex Apex logic or
Salesforce-specific nuances
● Can inadvertently introduce bad coding
habits if not carefully reviewed
● Costs $
Pros Cons
9. Einstein for Developers
What is it?
● Salesforce-native suite of AI-powered development tools
● Includes features like Code Generation, Code Completion, and Code
Recommendations
● Tailored to Salesforce, understands platform-specific
details
● Integrates seamlessly with Salesforce development
workflows (VS Code, Salesforce DX)
● Improves code quality and adherence to best
practices
● Less flexible in creative code generation
compared to ChatGPT
● May require some initial setup or
configuration
Pros Cons
10. Which One to Choose
Key Considerations
● Complexities of Code
○ Simple tasks? Copilot might do
○ Complex logic? Lead towards Einstein
○ Want experimental solutions? ChatGPT
● Salesforce Expertise
○ Deep platform knowledge favours Einstein
● Integration
○ Want it within your workflow? Einstein or Copilot shine
11. The Future of code Generation
● The Big Picture:
○ Code generation is rapidly evolving
○ Expect even more sophisticated and specialized tools to emerge
● Focus on Learning:
○ Don't let tools replace core Salesforce development skills
○ Use them to augment your expertise, not as a crutch
● A Collaborative Future:
○ Imagine tools understanding code intent, refactoring intelligently...
15. Tom Catchup
● He has been asked to write another class
● He has just listened to this talk and is
inspired to try Einstein for Developers
● So, as a good Salesforce AI Developer he:
○ creates a query in Einstein for Developer that create a large piece of the code he requires
○ Fills out the specifics of the code
○ Asks Einstein for Developers to create the test class for him
○ Tweaks the tests to get them to pass
○ Jobs done in 1 day.
18. Brisbane Developer Group
Next Meeting
● Advanced Flow Concepts Every Developer Should Know
○ May 1 - 12pm, virtual with Tim Combridge
Session Topic Suggestions
LinkedIn Group
● https://www.linkedin.com/groups/14345387/