Thinslices

Transitioning to a more backend-focused role within the same project at BMJ, I am now spearheading the development and implementation of APIs using Node.js. This significant project revolves around parsing HTML through these APIs, enhancing the accessibility and delivery of article content.

✅ Streamlined Content Delivery: By implementing APIs using Node.js, I am enhancing the way we handle and present data. This has led to an improved method of parsing HTML, enabling a more efficient delivery and presentation of article content.

✅ Expanded Backend Capabilities: Taking on a backend-focused role, I am deepening my expertise and versatility as a Full Stack Web Developer, ensuring that I stay adaptable and proficient in all aspects of development, from frontend to backend.

✅ Enhanced Project Understanding: By working on different aspects of the same project, I have gained a more holistic understanding of the project's architecture, which contributes to my ability to deliver efficient and effective solutions.

✅ Architectural Design and Leadership: I've taken the helm in designing the architecture of a separate internal project, focusing on creating a scalable and maintainable long-term solution. My role involves guiding and overseeing the work of two developers, providing mentorship and support as needed.

✅ Collaborative Communication: My responsibilities extend to constant communication with business stakeholders and UI/UX designers. This collaboration is crucial in aligning project requirements and ensuring that we deliver the best software solutions that meet business needs and enhance user experience.

This new endeavor signifies my constant pursuit of growth and learning within the realm of web development, reinforcing my commitment to delivering top-notch solutions. The experience of working on such a diverse range of tasks within the same project broadens my perspective and reinforces my adaptability in the fast-paced world of web development.

Software Developer

As a Frontend Developer at BMJ (British Medical Journals), a prestigious UK-based organization, I contribute to the development and maintenance of the user interface for web applications. My role involves a strong focus on improving web performance, enhancing accessibility, and streamlining deployment processes. My key achievements include:

✅ 𝐀𝐜𝐜𝐨𝐦𝐩𝐥𝐢𝐬𝐡𝐞𝐝 𝐚 𝐬𝐢𝐠𝐧𝐢𝐟𝐢𝐜𝐚𝐧𝐭 𝐢𝐦𝐩𝐫𝐨𝐯𝐞𝐦𝐞𝐧𝐭 𝐢𝐧 𝐰𝐞𝐛 𝐚𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐩𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞 by migrating BMJ's web applications to Next.js. This strategic decision resulted in an increase in speed, enhanced user experience, and an impressive Google Lighthouse average score of 90%.

✅ 𝐀𝐭𝐭𝐚𝐢𝐧𝐞𝐝 𝐮𝐧𝐢𝐯𝐞𝐫𝐬𝐚𝐥 𝐚𝐜𝐜𝐞𝐬𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐲 𝐬𝐭𝐚𝐧𝐝𝐚𝐫𝐝𝐬 by adhering to WCAG 2.1 guidelines during the development process. This adherence resulted in more inclusive and accessible web content for all users, reinforcing BMJ's commitment to providing accessible content to the global medical community.

✅ 𝐒𝐭𝐫𝐞𝐚𝐦𝐥𝐢𝐧𝐞𝐝 𝐚𝐧𝐝 𝐞𝐱𝐩𝐞𝐝𝐢𝐭𝐞𝐝 𝐝𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭 𝐩𝐫𝐨𝐜𝐞𝐬𝐬𝐞𝐬 by implementing a fully automated CI/CD pipeline powered by GitHub Actions. This automation facilitated seamless QA and enabled multiple production releases of any or all BMJ Journal sites multiple times a day, ensuring timely updates to crucial medical information.

Frontend Developer

As a Web Application Developer, my role was centered around developing robust web applications using JavaScript and React.js. I collaborated effectively with team members, contributed to code reviews, and engaged in testing processes. Here are my key achievements:

✅ 𝐀𝐜𝐜𝐨𝐦𝐩𝐥𝐢𝐬𝐡𝐞𝐝 𝐩𝐫𝐨𝐟𝐢𝐜𝐢𝐞𝐧𝐜𝐲 𝐢𝐧 𝐚𝐝𝐚𝐩𝐭𝐢𝐧𝐠 𝐭𝐨 𝐧𝐞𝐰 𝐭𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐚𝐧𝐝 𝐜𝐨𝐝𝐢𝐧𝐠 𝐩𝐫𝐚𝐜𝐭𝐢𝐜𝐞𝐬 by demonstrating a strong aptitude for learning and evolving my approach. This led to 𝐬𝐨𝐥𝐢𝐝𝐢𝐟𝐲𝐢𝐧𝐠 𝐦𝐲 𝐬𝐤𝐢𝐥𝐥𝐬𝐞𝐭 𝐚𝐧𝐝 𝐞𝐧𝐡𝐚𝐧𝐜𝐢𝐧𝐠 𝐭𝐡𝐞 𝐪𝐮𝐚𝐥𝐢𝐭𝐲 𝐨𝐟 𝐜𝐨𝐝𝐞 𝐈 𝐩𝐫𝐨𝐝𝐮𝐜𝐞𝐝.

✅ 𝐄𝐧𝐡𝐚𝐧𝐜𝐞𝐝 𝐜𝐨𝐝𝐞 𝐦𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭 𝐚𝐧𝐝 𝐭𝐞𝐚𝐦 𝐜𝐨𝐥𝐥𝐚𝐛𝐨𝐫𝐚𝐭𝐢𝐨𝐧 with a keen eye for detail by 𝐥𝐞𝐯𝐞𝐫𝐚𝐠𝐢𝐧𝐠 𝐆𝐢𝐭 𝐟𝐨𝐫 𝐯𝐞𝐫𝐬𝐢𝐨𝐧 𝐜𝐨𝐧𝐭𝐫𝐨𝐥 𝐚𝐧𝐝 𝐚𝐜𝐭𝐢𝐯𝐞𝐥𝐲 𝐩𝐚𝐫𝐭𝐢𝐜𝐢𝐩𝐚𝐭𝐢𝐧𝐠 𝐢𝐧 𝐭𝐞𝐚𝐦 𝐦𝐞𝐞𝐭𝐢𝐧𝐠𝐬. This contributed to 𝐚𝐝𝐡𝐞𝐫𝐢𝐧𝐠 𝐭𝐨 𝐢𝐧𝐝𝐮𝐬𝐭𝐫𝐲 𝐛𝐞𝐬𝐭 𝐩𝐫𝐚𝐜𝐭𝐢𝐜𝐞𝐬, 𝐞𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐭𝐥𝐲 𝐦𝐚𝐧𝐚𝐠𝐢𝐧𝐠 𝐜𝐨𝐝𝐞 𝐜𝐡𝐚𝐧𝐠𝐞𝐬, 𝐚𝐧𝐝 𝐚𝐝𝐝𝐢𝐧𝐠 𝐯𝐚𝐥𝐮𝐚𝐛𝐥𝐞 𝐢𝐧𝐬𝐢𝐠𝐡𝐭𝐬 𝐢𝐧 𝐭𝐞𝐚𝐦 𝐝𝐢𝐬𝐜𝐮𝐬𝐬𝐢𝐨𝐧𝐬.

Web Application Developer

Remote Work

As a Frontend Developer at an innovative startup, my mission involved contributing to the transformation of the freelancing industry. My role was pivotal in the creation of a digital platform aimed at redefining the experience for freelancers and businesses, similar to Upwork.

✅ 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐞𝐝 𝐚 𝐫𝐞𝐯𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐚𝐫𝐲 𝐝𝐢𝐠𝐢𝐭𝐚𝐥 𝐩𝐥𝐚𝐭𝐟𝐨𝐫𝐦 by utilizing my skills in React.js and TypeScript for frontend development, which 𝐥𝐞𝐝 𝐭𝐨 𝐚 𝐬𝐦𝐨𝐨𝐭𝐡 𝐚𝐧𝐝 𝐢𝐧𝐭𝐮𝐢𝐭𝐢𝐯𝐞 𝐮𝐬𝐞𝐫 𝐞𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞.

✅ 𝐏𝐫𝐨𝐦𝐨𝐭𝐞𝐝 𝐚𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐩𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞 𝐚𝐧𝐝 𝐬𝐜𝐚𝐥𝐚𝐛𝐢𝐥𝐢𝐭𝐲 by contributing to the robust backend of our platform using Nest.js, which 𝐞𝐧𝐡𝐚𝐧𝐜𝐞𝐝 𝐬𝐭𝐚𝐛𝐢𝐥𝐢𝐭𝐲 𝐚𝐧𝐝 𝐭𝐡𝐞 𝐚𝐛𝐢𝐥𝐢𝐭𝐲 𝐭𝐨 𝐦𝐚𝐧𝐚𝐠𝐞 𝐢𝐧𝐜𝐫𝐞𝐚𝐬𝐞𝐝 𝐮𝐬𝐞𝐫 𝐢𝐧𝐭𝐞𝐫𝐚𝐜𝐭𝐢𝐨𝐧𝐬.

✅ 𝐌𝐚𝐢𝐧𝐭𝐚𝐢𝐧𝐞𝐝 𝐪𝐮𝐚𝐥𝐢𝐭𝐲 𝐚𝐬𝐬𝐮𝐫𝐚𝐧𝐜𝐞 by employing Cypress for end-to-end testing, which 𝐯𝐚𝐥𝐢𝐝𝐚𝐭𝐞𝐝 𝐛𝐨𝐭𝐡 𝐢𝐧𝐝𝐢𝐯𝐢𝐝𝐮𝐚𝐥 𝐜𝐨𝐦𝐩𝐨𝐧𝐞𝐧𝐭𝐬 𝐚𝐧𝐝 𝐭𝐡𝐞 𝐨𝐯𝐞𝐫𝐚𝐥𝐥 𝐬𝐲𝐬𝐭𝐞𝐦 𝐟𝐮𝐧𝐜𝐭𝐢𝐨𝐧𝐚𝐥𝐢𝐭𝐲, 𝐞𝐧𝐬𝐮𝐫𝐢𝐧𝐠 𝐚 𝐡𝐢𝐠𝐡-𝐪𝐮𝐚𝐥𝐢𝐭𝐲 𝐨𝐮𝐭𝐩𝐮𝐭.

The experience, though short-lived, was enriching, providing deep insights into the dynamism and rapid innovation cycles characteristic of startup environments. This opportunity reinforced my ability to adapt quickly to new technologies and methodologies while delivering high-quality solutions.

🚀 Elevate Your Digital Presence | 🔥 Skilled React Frontend Developer: Crafting Exceptional UIs for Growth-Driven Businesses | Advocate of Deep Work & Mindset for Success

As a 𝗥𝗲𝗮𝗰𝘁 𝗙𝗿𝗼𝗻𝘁𝗲𝗻𝗱 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 with 𝟯 𝘆𝗲𝗮𝗿𝘀 𝗼𝗳 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲, I channel my passion and skills to assist businesses worldwide by designing, implementing, and optimizing their web applications.

Imagine a digital ecosystem where your web applications not only captivate users but also guide them towards your desired goals, effortlessly. That's my mission.

𝗠𝘆 𝗦𝗸𝗶𝗹𝗹𝘀:

✅ 𝗘𝗳𝗳𝗲𝗰𝘁𝗶𝘃𝗲 𝗪𝗲𝗯 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀: • JavaScript, React & Next.js for dynamic and responsive web apps • CSS & TailwindCSS for crafting visually pleasing interfaces • Storybook for efficient UI component development and testing • TypeScript for ensuring type safety and error reduction • Node.js, Python & Django for sturdy backend architectures

✅ 𝗨𝘀𝗲𝗿-𝗖𝗲𝗻𝘁𝗿𝗶𝗰 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲𝘀: • Intuitive designs to maximize user engagement • Seamless interfaces to increase productivity without overwhelming users

✅ 𝗖𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗶𝘃𝗲 𝗣𝗮𝗿𝘁𝗻𝗲𝗿𝘀𝗵𝗶𝗽𝘀: • Building strong partnerships to understand and fulfill unique business needs • Iterative development to continuously integrate feedback and optimize results

I've had the privilege of working with a diverse range of clients, assisting them in enhancing their digital presence and confidently achieving their goals.

I am currently focusing on my existing projects and not actively seeking new opportunities. However, I am open to remote collaborations that allow me to extend my expertise to your projects, irrespective of geographical boundaries.

Let’s collaborate to transform your app experience into something truly remarkable! Feel free to reach out to see how my skills can serve your business.

📱Tel: 0749641796 ✉️Email: florin.dobinciuc.dev@gmail.com

Florin Dobinciuc

Trivial Business

Providing interim software engineering management (VP Engineering/CTO) for startups and SMEs.
Providing leadership and software development coaching and mentoring to software engineering leaders and their teams.

Example projects:

■ Interim CTO redefining the IT infrastructure and software systems of a business turnaround.
■ Interim CTO of an angel backed start-up.
■ Leading the development of a large scale website for the BBC.
■ Advising on technology strategy for businesses.
■ Advising a consultancy on technology deliver and project turnaround.
■ Advising a technology company on the use of machine learning and NLP to access sentiment on financial news.

Providing training, mentoring and coaching to Staff+ and Engineering Managers on leadership and soft skills.

Providing training, mentoring and coaching software engineers. Delivering the training both on-site and remote. Topics included: Go, Python, C++, NLP and Machine Learning.

Chief Technology Officer

Coding Chats

Podcast Host

Coding Challenges

Writing weekly coding challenges that help software engineers level up by building real-world software applications.

Delivering live software engineering training.

Software Engineering Coach

Acast

Acast is a podcast advertising company. They help creators and advertisers connect.

AWS, CDK, Typescript/JavaScript and node.js

Senior Software Engineering Manager

Met Office

The Met Office is the United Kingdom's national weather service, providing critical weather services and world-leading climate science, helping you make better decisions to stay safe and thrive.

AWS (Cloud) and Python for handling large meteorological data sets.

Contract Software Engineer

Sky is Europe's largest media company and pay-TV broadcaster.

Building serverless solutions to support Sky’s broadcasting activities using Python 3.8, Java, AWS and the Serverless Framework.

Cirrus Logic

Cirrus Logic is a fabless semiconductor supplier that specialises in analog, mixed-signal, and audio DSP integrated circuits.

Managing several teams developing Data Engineering Tools to gather, process and distribute data to support the development, testing and deployment of machine learning algorithms using Python, Conda, PyTest, Numpy, Pandas, Dask and Dask-Distributed.

Starting to build a new team whilst designing, developing and deploying software tools to manage big data for the development and evaluation of biometric algorithms.

Principal Software Architect

Software development for High Performance Computing using Python, SciPy, Pandas, NumPy, Dask, Dask-Distributed and C.

Principal Software Engineer

Morningstar

Morningstar Real-Time Data provides real-time. low latency financial market data feeds.

Leading a globally distributed team of 40+ software engineering and QA staff developing and supporting real time low latency market data feed handlers and supporting infrastructure for several hundred financial exchanges. 
Using C++, C# and Python on Windows.

Head of Software Engineering

Aria Networks

Aria Networks provides artificial intelligence driven network planning and optimisations tools for major telecommunications companies, over-the-top providers and global enterprises.

■ Defining the technical strategy to deliver the business strategy and products.
■ Leading the software development and QA teams delivering a customised network capacity planning and optimisation tool for telecommunications networks (IP, MPLS, OTN, SDN and NFV).
■ Using C++, Boost, QT, JavaScript and Python to build software based around an Artificial Intelligence (AI, specifically Evolutionary Computing/Genetic Algorithms & Neural Networks) 
engine that runs on Windows, Mac and Linux.

VP Engineering

Helping you become a better software engineer through coding challenges that build real applications.

I am on a mission to level up one million software engineers and software engineering leaders!

I’m doing that by: 

1. Helping you improve your coding skills through Coding Challenges that have you building real applications.

2. Helping you improve your software development and soft skills with posts and articles about software development.

You can find the coding challenges here ➡ https://codingchallenges.fyi

You can follow me here on LinkedIn for the posts and articles!

I also post some longer articles on my Developing Skills newsletter here ➡  https://developingskills.substack.com/


My BACKGROUND:

I'm a software engineer and sometimes a manager of software engineers. I've worked as both a senior individual contributor (Staff+) and a senior manager (VP Engineering, Head of Software Development).

I've worked across many tech stacks. I've spent most of the last six years building distributed systems with Python and Flask deployed on AWS using CloudFormation and some CDK. 

Recently there has been some TypeScript/JavaScript, React and Next.js on the frontend with Node.js and Express on the backend. Deployed on AWS using CDK.

For most of my career before that I worked in C++. I'm coming the full circle now and currently learning Rust.

I have a passion to help individuals, teams and departments reach their full potential.

John Crickett

Here's my problem with people claiming they use AI to write 13,000 lines of production code per day and who suggest it is a repeatable process.

I can't write a clear enough specification for enough functionality to fill 13,000 lines of code per day, every single day.

And I've never met anyone else who can either.

The bottleneck isn't writing code, it's knowing what code to write.

Let's discuss how we tackle that bottleneck, with or without AI.

CTO / VP Engineering / Head of Software Engineering

19 books on Software Architecture - that you can get for around 4% of the cover price right now!

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👉 Understanding Software Dynamics
👉 Software Requirements Essentials
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👉 Balancing Coupling in Software Design
👉 Architecture for Flow
👉 Effective Software Architecture
👉 Software Architecture and Decision-Making
👉 Domain Driven Design Distilled
👉 Functional and Concurrent Programming
👉 Software Architecture in Practice
👉 Practical Object-Oriented Design
👉 Serverless as a Game Changer
👉 The Async-First Playbook
👉 Principles of Web API Design
👉 Strategic Monoliths and Microservices
👉 Domain Storytelling
👉 Continuous Architecture in Practice
👉 Patterns for API Design

You get all of these worth over £618 for around £25 right now through Humble’s Book Bundle and support charity, details here: https://lnkd.in/en2eN_kG

Unskilled and inexperienced software engineers take simple requirements and create complex code.

Skilled and experienced software engineers take complex requirements and create simple code.

The difference is that experience maintaining a complex system, teaches them the benefits of simple code and gives them the skills to do so.

This is also why skilled, experienced software engineers are best positioned to leverage AI-assisted software engineering: they know how to turn a complex set of high level requirements into a simple set of low-level requirements that can be used to prompt and AI-agent and have it build simple code.

Tips for AI-Assisted software development:

If you don’t get it, don’t ship it.

AI can write code fast, but it can’t think about the future. Pasting code you don’t fully understand leads to tech debt, surprises, and skills that get rusty. 

Understanding the code keeps your skills sharp and your product reliable.

Read every bit of code before it hits your repo. If you can’t explain it, rewrite it or prompt the AI to try again.

Want to write better software?

Then embrace the Unix Philosophy as described in The Art of Unix Programming. It provides 17 great rules for writing better software.

With AI-assisted software development rules 1, 2, 5, 6, 7, 8 and 15 are even more important and using AI to generate code satisfies rule 14!

The rules are:

1. Rule of Modularity: Write simple parts connected by clean interfaces.
2. Rule of Clarity: Clarity is better than cleverness.
3. Rule of Composition: Design programs to be connected to other programs.
4. Rule of Separation: Separate policy from mechanism; separate interfaces from engines.
5. Rule of Simplicity: Design for simplicity; add complexity only where you must.
6. Rule of Parsimony: Write a big program only when it is clear by demonstration that nothing else will do.
7. Rule of Transparency: Design for visibility to make inspection and debugging easier.
8. Rule of Robustness: Robustness is the child of transparency and simplicity.
9. Rule of Representation: Fold knowledge into data so program logic can be stupid and robust.
10. Rule of Least Surprise: In interface design, always do the least surprising thing.
11. Rule of Silence: When a program has nothing surprising to say, it should say nothing.
12. Rule of Repair: When you must fail, fail noisily and as soon as possible.
13. Rule of Economy: Programmer time is expensive; conserve it in preference to machine time.
14. Rule of Generation: Avoid hand-hacking; write programs to write programs when you can.
15. Rule of Optimization: Prototype before polishing. Get it working before you optimize it.
16. Rule of Diversity: Distrust all claims for “one true way”.
17. Rule of Extensibility: Design for the future, because it will be here sooner than you think.

Embrace the UNIX Philosophy

20 great books on data science and data engineering - that you can get for around 3% of the cover price right now!

👉 Learning Data Science
👉 Learning SQL
👉 Data Science from Scratch
👉 Data Science: The Hard Parts
👉 Data Science at the Command Line
👉 Data Science on AWS
👉 Software Engineering for Data Scientists
👉 Financial Data Engineering
👉 Streamlining Databases
👉 Implementing Data Mesh
👉 Fuzzy Data Matching with SQL
👉 Learning Snowflake SQL and Scripting
👉 Scaling Python with Dask
👉 Scaling Machine Learning with Spark
👉 The Enterprise Data Catalog
👉 Scaling Python with Ray
👉 Essential Math for Data Science
👉 Practical Lakehouse Architecture
👉 Hands-On Differential Privacy
👉 Practical Statistics for Data Science

You get all of these worth over £950 for around £25 right now through Humble’s Book Bundle and support charity, details here: https://lnkd.in/eFyWF6ij

Tips for AI-assisted software development:

Boring tech gives AI superpowers.

AI coding agents performs best with tools, languages, and frameworks that have been around long enough to show up consistently in its training data. 

When you push it onto the bleeding edge, it starts hallucinating, and the quality drops. You’ll see odd patterns, missing steps, or advice that just doesn’t hold up.

To get the best results, pick a well-established framework or language. Pick 'boring' tech! Ten tell the AI exactly what you’re using.

Tips for AI-Assisted software development:

Don't ask AI to build the house, ask it to make the bricks.

People struggle with AI coding tools because they're asking for too much at once. They want entire features, complete apps, full systems. The AI generates something massive, half of it doesn't work, and now you're debugging spaghetti code you didn't write.

Flip the approach. Ask AI to generate small, well-defined components. A single function. A reusable component. One API endpoint. You architect how they fit together.

Think LEGO, not construction. AI is incredible at fabricating pieces to spec. 

You're still the one building something meaningful from them.

29 great books on AI Algorithms and LLMs - that you can get for around 3% of the cover price right now!

This looks like a great deal, in particular I recommend Emmanuel Maggiori’s book: The AI Pocket Book. I'm looking forward to reading several others!

👉 Build A Large Language Model
👉 AI Agents In Action
👉 Grokking Artificial Intelligence Algorithms
👉 AI-Powered Search
👉 Generative AI In Action
👉 AI For Everyday IT
👉 Causal AI
👉 The Art of AI Product Development
👉 Starting Data Analytics with Generative AI and Python
👉 Learn AI-Assisted Python Programming
👉 AI as a Service
👉 Interpretable AI
👉 Software Testing with Generative AI
👉 Learn Generative AI With PyTorch
👉 Time Series Forecasting Using Foundation Models
👉 Effective Conversational AI
👉 How Large Language Models Work
👉 Succeeding With AI
👉 Introduction to Generative AI
👉 AI-Powered Developer
👉 Inside AI
👉 Build Financial Software With Generative AI
👉 Data Storytelling With Altair and AI
👉 Coding With AI
👉 Prompt Engineering For AI Systems
👉 Zero To AI
👉 The Complete Obsolete Guide to Generative AI
👉 The AI Pocket Book
👉 Regular Expression Puzzled and AI Coding Assistants

You get all of these worth over £1155 for around £35 right now through Humble’s Book Bundle and support charity, details here: https://lnkd.in/eAwEJAiu

What if that unrealistic estimate isn't wrong? What if you just don't know why it might be right?

Your manager says hours. You're thinking days. They must be stupid or unreasonable, right?

Maybe. Or maybe they know something you don't. A tool. A technique. Some context that changes everything.

You won't find out by complaining. You will find out by being curious. Ask them: "How do you see this getting done in that time?"

Two things happen. Either you learn something that makes you faster, or they realise they missed something and you have a real conversation about time or scope.

Either way, you win.

taplio

The Battle

Florin Dobinciuc

John Crickett

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taplio

The Battle

Florin Dobinciuc

John Crickett

Followers

Posts

Engagements

Likes

Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}John Crickett's LinkedIn Performance

Ready to grow your LinkedIn presence?

Performance ScoreJohn Crickett's LinkedIn Performance