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From Idea to Proof of Concept to MVP: The POC stage (2/3)

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We continue the series of 3 articles with the second one, about the Proof of Concept (POC).

Here is the first article in the series, From Idea to Proof of Concept to MVP: The Idea stage (1/3) .

2. The Proof of Concept (POC)

The POC is where the team tests a specific risky assumption that could make or break the idea.
The aim is not to build a usable product but to verify that a key technical, architectural, or data-processing challenge is solvable.

POC code is intentionally imperfect. It moves fast and cuts corners. However, it should still be written in a way that reduces friction when extracting reusable parts for the MVP.

What Defines a POC

  • A POC is short-lived and narrowly focused. It often tests only one or two questions:
    Can we integrate with this external system?
  • Can this algorithm scale?
  • Can the frontend render a dynamic timeline with the required performance?

The purpose is to generate a clear yes/no answer, not to produce a polished outcome.

Inputs and Outputs

Inputs include the problem statement and hypothesis defined in the idea stage.
Outputs include a working demonstration, documentation of findings, architectural constraints, and a clear decision: continue, pivot, or stop.

Actors

Developers implement the experiment.
Tech leads help evaluate results.
QA may help with validation but does not perform full product testing.
Security engineers review risks that appear during the experiment.

Engineering Expectations at This Stage

Code and Reuse

POC code is disposable, but that does not mean it should be sloppy. Developers should write code that can be extracted later without major re-architecture. This typically means:

  • Avoid hardcoded credentials, external URLs, or secrets.

  • Organize files in a simple but meaningful structure.

  • Implement the core logic in isolated modules instead of burying it inside an ad-hoc script.

  • Use interfaces or adapters to make future dependency injection easier.

The mindset should be: “This code may be thrown away, but if it works well, we want to reuse pieces of it.”

What Must Change Later

Before integrating POC code into the MVP, the team will need to refactor it: add error handling, consistent logging, tests, and proper abstractions.
In other words, the POC shows the core idea works, but the MVP requires turning this into real engineering.

Process Evolution

The POC often introduces small process steps such as:

  • Lightweight code reviews

  • A temporary branch in the repository

  • Simple build scripts to allow teammates to run the demonstration

This is still not production engineering. CI/CD pipelines and test automation usually come only at the MVP stage.

Backend Example

Suppose the team is building a new recommendation engine.
The backend POC might implement a single endpoint that forwards a request to an external ML service and measures latency and response quality.
Logging might be minimal, validation might be non-existent, and error handling might be crude—but the team learns whether the external ML service meets the performance requirements.

Frontend Example

A frontend POC might involve building a rough React component that displays personalized recommendations using mock data.
The component may not follow the design system, may not handle loading states cleanly, and may ignore error cases.
The goal is to check whether the UI interaction model feels intuitive and whether the state updates behave as expected.

Security

Security engineers examine how the POC handles sensitive data, even if the handling is mocked.
They validate risky paths such as authentication flows, data transformation logic, or external integrations.
The POC must identify whether the solution will require additional compliance measures, encrypted storage, or stricter authentication schemes.
This becomes a mandatory input for the MVP.

The post From Idea to Proof of Concept to MVP: The POC stage (2/3) first appeared on Sorin Mustaca’s blog.

Delivering often in small increments with Scrum

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Agile software development, particularly using Scrum, has revolutionized the way software is built and delivered.

At its core, Agile embraces iterative and incremental development, a stark contrast to traditional “waterfall” methodologies.

The primary objective is to deliver working software frequently and in small increments, ensuring continuous feedback, adaptability, and rapid value delivery.

However, we know from experience that this is not always the case, and if you have worked long enough in the software development industry, you know that usually, it is not the case.

I wrote before about this and the articles were well read (on LinkedIn), but I still see the need to summarize those articles:

Guide for delivering frequently software features that matter (series) #1/2: the Pillars of successful frequent delivery

Guide for delivering frequently software features that matter (series) #2/2: Challenges and the path forward

 

Key principles and practices

In order to frequently deliver small-increment you need to implement several key principles and practices:

Decomposition and User Stories

Break down large features or requirements into smaller, manageable user stories.
A well-formed user story describes a desired functionality from the perspective of an end-user, following the format: “As a [type of user], I want [some goal] so that [some reason].”
These stories are then estimated and prioritized.

Time-boxed Sprints

Scrum operates in short, fixed-length iterations called “sprints,” typically 2-4 weeks long.
Each sprint has a specific goal and a defined set of user stories to be completed.
The time-box ensures a consistent rhythm of delivery and prevents scope creep within an iteration.

Definition of Done (DoD)

A clear and shared “Definition of Done” is crucial.
This defines the criteria that a user story must meet to be considered complete, including coding, testing, documentation, and integration.
This ensures quality and prevents partially finished work from accumulating.

 

Cross-functional Teams

Scrum teams are self-organizing and cross-functional, meaning they possess all the skills necessary to take a user story from conception to delivery.
This reduces dependencies and streamlines the development process.

 

Frequent Feedback Loops

Scrum incorporates several built-in feedback loops:

  • Daily Scrums: Short daily meetings where the team synchronizes, discusses progress, and identifies impediments.
  • Sprint Demo: At the end of each sprint, the team demonstrates the “potentially shippable increment” to stakeholders, gathering feedback for future sprints.
  • Sprint Retrospectives: The team reflects on the past sprint to identify what went well, what could be improved, and creates actionable plans for the next sprint.

Prioritization and Backlog Refinement

The Product Owner is responsible for maintaining and prioritizing the Product Backlog, a living list of all desired features.
Regular “backlog refinement” sessions ensure that upcoming user stories are well-understood, estimated, and ready for development.

 

Now, if you think that by doing this solves all your problems, well, you are not entirely wrong, but also not entirely right. 🙂

As with any methodology, there are challenges.

Challenges and Solutions

Large, Undifferentiated Requirements

Stakeholders often present high-level, monolithic requirements that are difficult to break down into small, shippable increments. This can lead to long development cycles and delayed feedback.

Solutions

  • Invest in User Story Mapping: Collaboratively map out the user’s journey and identify smaller, deliverable “slices” of functionality.
  • Employ techniques like “Splitting User Stories”: Learn patterns and techniques to effectively break down large stories into smaller, valuable pieces (e.g., by workflow steps, by data type, by role).
  • Product Owner Focus: The Product Owner plays a critical role in collaborating with stakeholders to refine and decompose requirements, ensuring they are “INVEST” (Independent, Negotiable, Valuable, Estimable, Small, Testable)

Technical Debt and Integration Issues

Rapid delivery can sometimes lead to accumulating technical debt (shortcuts taken for speed) and integration headaches if not managed carefully.

This can slow down future development and make small increments harder to achieve.

Solutions

  • Prioritize Technical Excellence: Bake in time for refactoring, code quality, and automated testing within each sprint. The Definition of Done should include these aspects.
  • Continuous Integration and Continuous Delivery (CI/CD): Implement robust CI/CD pipelines to automate builds, tests, and deployments, ensuring that the software is always in a releasable state.
  • Pair Programming and Code Reviews: collaborative development and peer review usually catch issues early and maintain code quality, but they also slow down delivery. Use with care.

Lack of Clear Prioritization

Without a clear and stable Product Backlog and a Product Owner empowered to make decisions, teams can struggle with shifting priorities, leading to wasted effort and delayed delivery.

Solutions

  • Empower the Product Owner: Ensure the Product Owner has the authority and understanding to prioritize the Product Backlog effectively, balancing business value, risk, and dependencies.
  • Regular Backlog Refinement: Conduct frequent and collaborative backlog refinement sessions to ensure upcoming stories are well-understood and ready for development.
  • Transparency: Make the Product Backlog visible and accessible to everyone, fostering understanding and aligning expectations.

 

External Dependencies and Silos

In larger organizations, external dependencies (e.g., other teams, external vendors, compliance departments) or internal silos can hinder a team’s ability to deliver independently and frequently.

Solutions

  • Active Stakeholder Management: The Product Owner and Scrum Master should proactively identify and manage external dependencies, facilitating communication and coordination.
  • Cross-team Collaboration: Encourage regular communication and collaboration between teams, potentially through “Scrum of Scrums” or other scaling frameworks if applicable.
  • Shift to a “Value Stream” Mindset: Focus on optimizing the flow of value across the entire organization, identifying and removing bottlenecks that span multiple teams or departments.

The post Delivering often in small increments with Scrum first appeared on Sorin Mustaca’s blog.

Guide for delivering frequently software features that matter (series) #2/2: Challenges and the path forward

/in

Click below for the podcast version (AI generated):


Challenges that stop teams to deliver and how to solve them

Objection 1: “Our features are too complex for short sprints”

This is the most common objection I hear, and it reveals a fundamental misunderstanding. The solution isn’t longer sprints or more sprints — it’s better feature decomposition.

Take an e-commerce checkout flow. Instead of trying to build the entire process in one Sprint, break it down: first, just shopping cart management; next, shipping information; then payment processing; finally, order confirmation.

Each piece provides immediate value and teaches you something about user behavior.

The key insight? Users will happily use a partial feature if it solves a real problem for them. Of course, some things can be used, some others don’t.

In the above example, it makes no sense to allow ordering without being able to pay or to enter a delivery address.

It’s important to apply common sense and decompose features in such a way that they provide some value to the user or stakeholder.

Another aspect here is that sometimes you maybe don’t deliver the feature to the users, but you accumulate a few deliverables and then you ship them together, when it makes sense.

The key take out is: there is no receipt for how small or big the features should be in order to allow delivery. Try to decompose them and use common sense when to deliver them: individually or in sets.

 

Objection 2: “We can’t maintain quality at this pace”

Quality isn’t something you add at the end—it’s built into every step. The teams with the highest delivery frequency actually have the fewest quality issues because they’ve automated their quality checks and made them part of their daily workflow.

But this has a mandatory requirement the fact that automation is there.

If you postpone automation you run eventually in technical debt, which is more expensive to implement later.

 

Objection 3: “Our stakeholders don’t understand this approach” or “they don’t know what they want”

Stakeholder education is crucial. They need to understand that their active participation is what makes frequent delivery valuable. Regular “show and tell” sessions where stakeholders can actually use the software create enthusiasm and provide immediate feedback.

One technique that works well: frame frequent delivery as risk reduction. Instead of betting everything on a big release, you’re placing smaller, safer bets that can be adjusted based on market response.

Ask for feedback about you delivered and what you plan to deliver. You will see that even if the stakeholders don’t know exactly what they want, they will find it easier to provide feedback or corrections to your plans.

 

Advanced strategies for teams

Release planning without rigidity

While Scrum focuses on Sprint-level planning, successful teams also think several Sprints ahead. I use story mapping to visualize how features relate to user workflows, which helps identify what should be delivered together versus what can stand alone.

Think of it as planning a road trip—you know your major destinations but remain flexible about the exact route based on what you discover along the way.

Manage dependencies

Dependencies kill delivery predictability. The best teams minimize them through smart architecture choices (like microservices) and careful Sprint planning. When dependencies exist, make them visible through dependency boards that show how different teams’ work interconnects.

Define and collect metrics that actually matter

Velocity is useful for Sprint planning, but business metrics tell the real story.

  • Did you receive any feedback or complains from customers/users/stakeholders?
  • How quickly can you respond to customer requests?
  • How often do users engage with new features?
  • How many bugs did you have in the last delivery?
  • Were the features delivered used?

These metrics ensure frequent delivery, which translates to business success.

Building the culture that makes it work

Creating psychological safety

Frequent delivery requires teams to take risks and experiment. This only works when people feel safe to voice concerns, make and admit mistakes.

The goal is not to make mistakes, but to be aware that they might occur and react accordingly.

In my retrospectives, I focus on systems and processes, not individual performance.

When problems arise, we ask “how do we prevent this?” not “who caused this?”

Yes, sometimes it is needed to get direct feedback, but in general, I try to focus this feedback on me and less on other team members.

 

Real customer collaboration

The Agile Manifesto’s emphasis on customer collaboration isn’t just philosophy—it’s practical necessity.

Whenever possible and feasible, try to involve actual end users in sprint reviews, not just business stakeholders. Their feedback often reveals usability issues that internal teams miss.

Implement user analytics directly in your application to provide continuous insight into how people actually use your software.

 

Instead of conclusions

Mastering frequent delivery is a journey, not a destination.

The teams I’ve worked with who succeed share three characteristics:

  • They embrace change as opportunity,
  • They prioritize working software over comprehensive documentation (who doesn’t ?), and
  • They value collaboration over rigid processes.

Start with the fundamentals—reliable Sprint execution and solid engineering practices—then layer on advanced techniques as your team matures.

The goal isn’t perfection; it’s continuous progress toward more effective value delivery.

Organizations that master frequent delivery gain significant competitive advantage. They respond quickly to market changes, incorporate user feedback rapidly, and create more engaging work environments where team members see the immediate impact of their efforts.

Your journey starts with the next Sprint. Focus on delivering something valuable to users, measure their response, and use that learning to make the next Sprint even better.

That’s the path to software that actually matters.

The post Guide for delivering frequently software features that matter (series) #2/2: Challenges and the path forward first appeared on Sorin Mustaca on Cybersecurity.

Guide for delivering frequently software features that matter (series) #1/2: the Pillars of successful frequent delivery

/in

Click below for the podcast version (AI generated):

Guide for delivering frequently software features that matter: the three Pillars of successful frequent delivery

If you’re a software engineer older than 30 years, then you definitely have worked following a non-agile methodology.

Those methodologies are based on a fixed structure, a lot of planning, and hope that everything will go as planned. And they never worked 🙂

 

Small bets, less risk

After helping many teams transform their delivery approach over the past 2 decades, I’ve learned that the most successful software projects share one trait: they deliver working software early and often. Think of it like learning to cook—you taste as you go rather than waiting until the entire meal is prepared to discover it needs salt – or to discover that it has too much salt.

Scrum’s power lies in its ability to turn software development from a high-stakes gamble into a series of small, manageable bets.  It basically lowers the risk of creating something that is a failure before it is even released.

Instead of spending months building features that might miss the mark, you deliver value every 2 weeks and course-correct based on real user/stakeholder feedback.

 

The Three Pillars of successful frequent delivery

1. Sprint Planning that actually delivers value

Here’s where most teams go wrong: they focus on completing tasks instead of delivering outcomes.

In my experience, the magic question that transforms Sprint planning is: “What could we deliver to users at the end of this Sprint that would make them say ‘this is useful’?”

Or maybe, if you’re not that far, think in terms of: what do we have to do in order to be able to have something to show to customers/users/stakeholders?

This shift in thinking leads to what I call “vertical slicing”—delivering complete, end-to-end functionality rather than building in horizontal layers.

Think of instead of spending a sprint on “database framework,” you deliver a complete feature like “user login” that touches database, business logic, and user interface.

Or, instead of having a “GUI framework”, implement a GUI element and make it testable. You will still need to put the base of the GUI framework, but you will likely (or hopefully) implement only those elements needed to deliver that one element.

 

2. Your Definition of Done (DoD) is your safety net

The Definition of Done isn’t bureaucracy—it’s your insurance policy against the dreaded “90% complete” syndrome. I’ve seen too many teams rush to demo features that weren’t actually ready for users, creating technical debt that haunts them for months.

A solid Definition of Done includes peer reviews, automated tests, security checks, performance validation, and sometimes stakeholder approval.

Think of it as your quality gateway: nothing passes through unless it meets production standards.

 

3. What enables speed

CI/CD

Continuous Integration isn’t just a nice-to-have—it’s the foundation that makes frequent delivery possible. When code is integrated and tested multiple times, you eliminate the integration nightmares that plague traditional development.

Anything that is manual, especially testing, takes more time on the long run. And in software development you are running a multi stage marathon. Invest in automated End-To-End testing and you invest the time once, not every release cycle.

 

Main branch development

The teams who excel at frequent delivery have embraced “trunk-based development” where everyone works from the main branch. This forces smaller, more frequent commits and prevents the merge conflicts that can derail Sprint goals.

You might say that this is not always possible – and I even agree. Sometimes you need to branch in order to allow parallel development of larger features, which you don’t want to deliver step-by-step. While I don’t like this approach, I understand that sometimes it makes sense.

But, even in such cases, you can apply the same strategy on the parallel branch: make many small commits so that you can release often and test often.

 

I’ll stop here for now, but as you can see, there are many challenges that stop teams from releasing often.

I’ll address this in the next article from this series.

The post Guide for delivering frequently software features that matter (series) #1/2: the Pillars of successful frequent delivery first appeared on Sorin Mustaca on Cybersecurity.

Guide for delivering frequently software features that matter (series)

/in

If you’re a software engineer older than 30 years, then you definitely have worked following a non-agile methodology.

Those methodologies are based on a fixed structure, a lot of planning, and hope that everything will go as planned. And they never worked 🙂

 

Small bets, less risk

After helping many teams transform their delivery approach over the past 2 decades, I’ve learned that the most successful software projects share one trait: they deliver working software early and often. Think of it like learning to cook—you taste as you go rather than waiting until the entire meal is prepared to discover it needs salt – or to discover that it has too much salt.

Scrum’s power lies in its ability to turn software development from a high-stakes gamble into a series of small, manageable bets.  It basically lowers the risk of creating something that is a failure before it is even released.

Instead of spending months building features that might miss the mark, you deliver value every 2 weeks and course-correct based on real user/stakeholder feedback.

 

The Three Pillars of successful frequent delivery

1. Sprint Planning that actually delivers value

Here’s where most teams go wrong: they focus on completing tasks instead of delivering outcomes.

In my experience, the magic question that transforms Sprint planning is: “What could we deliver to users at the end of this Sprint that would make them say ‘this is useful’?”

Or maybe, if you’re not that far, think in terms of: what do we have to do in order to be able to have something to show to customers/users/stakeholders?

This shift in thinking leads to what I call “vertical slicing”—delivering complete, end-to-end functionality rather than building in horizontal layers.

Think of instead of spending a sprint on “database framework,” you deliver a complete feature like “user login” that touches database, business logic, and user interface.

Or, instead of having a “GUI framework”, implement a GUI element and make it testable. You will still need to put the base of the GUI framework, but you will likely (or hopefully) implement only those elements needed to deliver that one element.

 

2. Your Definition of Done (DoD) is your safety net

The Definition of Done isn’t bureaucracy—it’s your insurance policy against the dreaded “90% complete” syndrome. I’ve seen too many teams rush to demo features that weren’t actually ready for users, creating technical debt that haunts them for months.

A solid Definition of Done includes peer reviews, automated tests, security checks, performance validation, and sometimes stakeholder approval.

Think of it as your quality gateway: nothing passes through unless it meets production standards.

 

3. What enables speed

CI/CD

Continuous Integration isn’t just a nice-to-have—it’s the foundation that makes frequent delivery possible. When code is integrated and tested multiple times, you eliminate the integration nightmares that plague traditional development.

Anything that is manual, especially testing, takes more time on the long run. And in software development you are running a multi stage marathon. Invest in automated End-To-End testing and you invest the time once, not every release cycle.

 

Main branch development

The teams who excel at frequent delivery have embraced “trunk-based development” where everyone works from the main branch. This forces smaller, more frequent commits and prevents the merge conflicts that can derail Sprint goals.

You might say that this is not always possible – and I even agree. Sometimes you need to branch in order to allow parallel development of larger features, which you don’t want to deliver step-by-step. While I don’t like this approach, I understand that sometimes it makes sense.

But, even in such cases, you can apply the same strategy on the parallel branch: make many small commits so that you can release often and test often.

 

I’ll stop here for now, but as you can see, there are many challenges that stop teams from releasing often.

I’ll address this in the next article from this series.

The post Guide for delivering frequently software features that matter (series) first appeared on Sorin Mustaca on Cybersecurity.