Agile: My Love-Hate Relationship with Iteration

Iteration. The word itself conjures up images of spinning wheels, cyclical patterns, and that hamster in its never-ending quest for… well, whatever a hamster sees in those wheels. But “iteration” is more than just a fancy word for “doing something again and again.” It’s a fundamental concept that permeates our lives, from the mundane to the profound.

Think about your morning routine. Wake up, stumble to the bathroom, brush your teeth (hopefully), make coffee (definitely). That’s an iteration, a daily ritual repeated with minor variations. Or consider the changing seasons, the ebb and flow of tides, the endless cycle of birth, growth, decay, and renewal. Iteration is the rhythm of existence, the heartbeat of the universe.

In the world of art and creativity, iteration takes center stage. Painters rework their canvases, musicians refine their melodies, writers revise their manuscripts – all in pursuit of that elusive perfect expression. Each iteration builds upon the last, refining, reimagining, and ultimately transforming the original concept into something new and hopefully improved.

But let’s not get all misty-eyed about iteration. It can be a cruel mistress, a source of frustration, a never-ending loop of “almost, but not quite.” Think about that DIY project that seemed so simple at first but has now become a Frankensteinian monster of mismatched parts and questionable design choices. Or that recipe you’ve tried a dozen times, each attempt yielding a slightly different (disastrous) result. Iteration, in these moments, feels less like progress and more like a punishment for our hubris.

And if we stretch it into the political arena, iteration takes on a particularly cynical flavor. The UK, with its revolving door of prime ministers, its endless Brexit debates, and its uncanny ability to elect leaders who promise change but deliver more of the same, is a prime example. Each election cycle feels like an iteration of the last, a Groundhog Day of broken promises, partisan squabbles, and that nagging sense that no matter who’s in charge, nothing really changes. Even the emergence of new parties, with their fresh faces and bold manifestos, often seems to get sucked into the same iterative loop, their initial idealism slowly eroded by the realities of power and the entrenched political system. Iteration, in this context, feels less like progress and more like a depressing reminder of our collective inability to break free from the past.

And then there’s Agile. Ah, Agile. The methodology that puts iteration on a pedestal, enshrining it as the holy grail of software development. Sprints, stand-ups, retrospectives – all designed to facilitate that relentless cycle of build, measure, learn. And while the Agile evangelists wax lyrical about the beauty of iterative development, those of us in the trenches know the truth: iteration can be a messy, chaotic, and often frustrating process.

We love iteration for its ability to adapt to change, to embrace uncertainty, to deliver value incrementally. We hate it for the endless meetings, the ever-growing backlog, the constant pressure to “fail fast” (which, let’s be honest, doesn’t always feel so fast). We love it for the sense of progress, the satisfaction of seeing a product evolve. We hate it for the scope creep, the shifting priorities, the nagging feeling that we’re building the plane as we fly it.

But love it or hate it, iteration is the heart of Agile. It’s the engine that drives innovation, the fuel that powers progress. And while it may not always be pretty, it’s undeniably effective. So, embrace the iteration, my friends. Embrace the chaos. Embrace the uncertainty. And maybe, just maybe, you’ll find yourself falling in love with the process, even if it’s a slightly dysfunctional, love-hate kind of love.

Wagile: In an iterative world, is there still a place for Waterfall

So Agile. It’s the buzzword du jour, the management mantra, the thing everyone’s been talking about for at least 10 years. Apparently, it is the antidote to all our project woes. Because, you know, Waterfall is so last century. And so, it seems, is cognitive function.

To be honest, Waterfall had a good run. Planning everything upfront, meticulously documenting every single detail, then… waiting. Waiting for the inevitable train wreck when reality collided with the perfectly crafted plan. It was like building a magnificent sandcastle, only to have the tide laugh maniacally and obliterate it. Ah fun times at Ridgemont High (aka RBS).

Agile, on the other hand, is all about embracing the chaos. Sprints, stand-ups, retrospectives – it’s a whirlwind of activity, a constant state of flux. Like trying to build that sandcastle while surfing the waves. Exhilarating? Maybe. Efficient? Debatable. Sane? No comment.

The Agile manifesto talks about “responding to change over following a plan.” Which is excellent advice, unless the change involves your entire development team suddenly deciding they’ve all become Scrum Masters or Product Owners. Then, your carefully crafted sprint plan goes out the window, and you’re left wondering if you accidentally wandered into a performance art piece.

And don’t even get me started on the stand-ups. “What did you do yesterday?” “What are you doing today?” “Are there any impediments?” It’s like a daily therapy session, except instead of delving into your inner demons, you’re discussing the finer points of code refactoring. And the “impediments”? Oh, the impediments. They range from “the coffee machine is broken” to “existential dread” (which is a constant in software development). It’s a rich tapestry of human experience, woven with threads of caffeine withdrawal and the gnawing fear that your code will spontaneously combust the moment you deploy it.

But the stand-up is just the tip of the iceberg, isn’t it? We’ve got the sprint planning, where we all gather around the backlog like it’s a mystical oracle, divining which user stories are worthy of our attention. It’s a delicate dance of estimation, negotiation, and the unspoken understanding that whatever we commit to now will inevitably be wildly inaccurate by the end of the sprint. We play “Planning Poker,” holding up cards with numbers that represent our best guesses at task complexity, secretly hoping that everyone else is as clueless as we are. It’s like a high-stakes poker game, except the only prize is more work.

Then there’s the sprint review, where we unveil our latest masterpiece to the stakeholders, praying that they won’t ask too many awkward questions. It’s a bit like showing your unfinished painting to an art critic, except the critic also controls your budget. We demonstrate the new features, carefully avoiding any mention of the bugs we haven’t fixed yet, and bask in the fleeting glow of (hopefully) positive feedback. It’s a moment of triumph, quickly followed by the realization that we have another sprint review looming in two weeks.

And let’s not forget the retrospective, the post-mortem of the sprint. We gather in a circle, armed with sticky notes and a burning desire to improve (or at least to vent our frustrations). We discuss what went well, what went wrong, and what we can do differently next time. It’s a valuable exercise in self-reflection, often culminating in the profound realization that we’re all just trying our best in a world of ever-changing requirements and impossible deadlines. It’s like group therapy, except instead of leaving feeling lighter, you leave with a list of action items and a renewed sense of impending doom. Because, you know, Agile.

But, amidst the chaos, the sprints, the stand-ups, there’s a glimmer of something… maybe… progress? Just maybe, Agile isn’t completely bonkers. Perhaps it’s a way to navigate the ever-changing landscape of software development, a way to build sandcastles that can withstand the occasional rogue wave. Or maybe it’s just a really elaborate way to procrastinate on actually finishing the project.

Either way, one thing’s for sure: it’s certainly more entertaining than Waterfall. And who knows, maybe in the process, we’ll all be forced to downgrade our cognitive functions to “basic operating level.” Who needs advanced cognitive functions when you have Agile and AI?

But amidst the gentle ribbing and self-deprecating humour, there is a serious point here. Agile, like any methodology, isn’t a magic bullet. It’s a tool, and like any tool, it can be used effectively or ineffectively. The key is understanding where Agile truly shines, where it needs to be adapted, and where – a touch of Waterfall might actually be the right approach.

That’s where I come in. With years of experience navigating the Agile landscape (and yes, even surviving a few Waterfall projects in my time), I can help your organisation cut through the jargon, identify the real pain points, and implement solutions that actually deliver results. Whether you’re struggling with sprint planning, drowning in a sea of sticky notes, or simply wondering if all this Agile stuff is worth the hassle, I can provide clarity, guidance, and a healthy dose of pragmatism. Because ultimately, it’s not about blindly following a methodology, it’s about finding the right approach to deliver value, achieve your goals, and maybe, just maybe, retain a little bit of your sanity in the process.

If you’re ready to move beyond the Agile buzzwords and build a truly effective development process, let’s talk.

From Zero to Data Hero: My Google Data Analytics Journey

Just a few short months ago, the world of data analytics felt like a vast, uncharted ocean. Now, after completing Google’s Data Analytics Professional Certificate (or at least the 12+ modules that make up the learning path – more on that later!), I feel like I’ve charted a course and am confidently navigating those waters. It’s been an intense, exhilarating, and sometimes head-scratching journey, but one I wouldn’t trade for anything.

My adventure began in October 2024, and by February (this week) 2025, I had conquered (most of) the learning path. Conquer is the right word, because it was definitely an intense learning curve. 2000’s dev junior SQL skills? Yeah, they got a serious dusting off. And my forgotten Python, which was starting to resemble ancient hieroglyphics? Well, let’s just say we’re on speaking terms again.

The modules covered a huge range of topics, from the foundational “Introduction to Data Analytics on Google Cloud” and “Google Cloud Computing Foundations” to more specialized areas like “Working with Gemini Models in BigQuery,” “Creating ML Models with BigQuery ML,” and “Preparing Data for ML APIs on Google Cloud.” (See the full list at the end of this post!) Each module built upon the previous one, creating a solid foundation for understanding the entire data analytics lifecycle.

But the real stars of the show for me were BigQuery and, especially, Looker Studio. I’ve dabbled with other data visualization tools in the past (mentioning no names… cough Microsoft cough Tableau cough), but Looker Studio blew me away. It’s intuitive, powerful, and just… fun to use. Seriously, I fell in love. The ease with which you can connect to data sources and create insightful dashboards is simply unmatched. It’s like having a superpower for data storytelling!

One of the biggest “aha!” moments for me was realizing the sheer power of data insights. Mining those hidden gems from large datasets is incredibly addictive. And the fact that Google makes it so easy to access public datasets through BigQuery? Game changer. It’s like having a data goldmine at your fingertips.

This learning path has ignited a real passion within me. So much so that I’m now pursuing a Data Analysis Diploma, which I’m hoping to wrap up before June. And, because I apparently haven’t had enough learning, I’m also signing up for the Google Cloud Data Analytics Professional Certificate. I’m all in!

I have to say, the entire Google Cloud platform just feels so much more integrated and user-friendly compared to the Microsoft offerings I’ve used. Everything works together seamlessly, and the learning resources are top-notch. If you’re considering a career in data analytics, I would wholeheartedly recommend the Google path over other options.

I’m especially excited to dive deeper into the machine learning aspects. And the integration of Gemini? Genius! Having it as a code buddy has been a huge help, especially when I’m wrestling with a particularly tricky SQL query or trying to remember the correct syntax for a Python function. Seriously, it’s like having a data analytics guru by my side.

Stay tuned for future posts where I’ll be sharing more about my data analytics journey, including tips and tricks, project updates, and maybe even some data visualizations of my own!

Coursera do an official course = https://www.google.com/url?sa=E&source=gmail&q=https://www.coursera.org/professional-certificates/google-data-analytics – this you get a recognised formal professional certificate.

Or jump into Google Cloud Skills Boost: https://www.cloudskillsboost.google/ and get yourself a Cloud account and friendly with Gemini.

Modules Completed:

  • Work with Gemini Models in BigQuery
  • Analyzing and Visualizing Data in Looker Studio
  • BigQuery for Data Analysts
  • Boost Productivity with Gemini in BigQuery
  • Create ML Models with BigQuery ML
  • Derive Insights from BigQuery Data
  • Developing Data Models with LookML
  • Google Cloud Computing Foundations- Data, ML, and AI in Google Cloud
  • Introduction to Data Analytics on Google Cloud
  • Manage Data Models in Looker
  • Prepare Data for Looker Dashboards and Reports
  • Prepare Data for ML APIs on Google Cloud

The Agile Apocalypse: Daily Scrum Survival – Balancing Collaboration and Corporate Nightmare

Behold the scrum: a tangled mass of caffeine fuelled coders, their postures suggesting a desperate attempt to escape the clutches of the dreaded Daily Standup. The Scrum Master, our fearless referee, blows the whistle, signalling the start of another gruelling Daily Standup.

“Yesterday, I worked on the login feature, but I encountered a blocker…” groans the first zombie developer, his voice a monotonous drone.

“I’m still debugging the payment gateway,” mumbles the second, eyes glazed over as he stares into the abyss of his coffee mug.

“I completed my tasks, but I’m waiting for code review,” mutters the third, swaying slightly as if fighting off the urge to take a nap right there on the spot.

And so it continues, a litany of half-finished tasks, unresolved dependencies, and vague promises of future progress. The scrum board looms overhead, a colorful mosaic of sticky notes that seems to mock their collective inertia.

The Scrum Master, ever optimistic, tries to inject some life into the proceedings. “Remember, folks, we are a team! Let’s work together to overcome these challenges!”

But his words fall on deaf ears. The zombie developers, their brains addled by endless sprints and Jira tickets, can only muster a collective grunt in response.

The Daily Standup drags on, a mind-numbing ritual that seems to sap the last vestiges of life from its participants. Finally, the whistle blows again, signaling the end of the ordeal. The zombie developers shuffle back to their desks, leaving a trail of unfinished tasks and unanswered questions in their wake.

Is this the Agile utopia we were promised? A world of collaboration, transparency, and continuous improvement? Or is it just another corporate nightmare, where productivity has been sacrificed on the altar of process?

Perhaps it is time to re-evaluate our approach to Agile. Maybe we need to inject a little more humanity into our daily routines. Or maybe we just need to accept that some days, we are all just zombies, stumbling through the motions until the coffee kicks in.

The Agile Apocalypse: Unveiling the Three Amigos’ Ritual of Quality

In the flickering candlelight of the Agile underworld, three amigos gather, their faces painted in the vibrant hues of the Day of the Dead. The Product Owner, adorned with a skeletal grin, clutches a tattered backlog, whispering tales of user desires and market demands. The Developer, a patchwork of exposed components, humming with digital life, dances with code and logic, conjuring code to manifest ethereal visions. The Tester, eyes gleaming like polished obsidian, prowls the edges, seeking vulnerabilities and imperfections in the nascent creation. This unholy trinity, united in their shared quest for quality, engages in a macabre ballet of collaboration. They dissect user stories, challenge assumptions, and unearth hidden flaws, all while honouring the sacred tradition of the three amigos – a ritual of refinement, ensuring that each increment of work rises from the development grave, flawless and ready to delight the living.

Through this macabre dance of collaboration, the project emerges not as a shambling corpse of missed deadlines and buggy code, but as a vibrant, polished gem, ready to dazzle stakeholders and users alike. The company, once plagued by the lumbering gait of waterfall development, now sprints with newfound agility, delivering value faster than a hungry zombie chasing brains. This harmonious union of business, development, and testing will finally lead to software so intuitive, so user-friendly, that even the most technologically challenged among us can navigate it without turning into mindless, keyboard-mashing zombies ourselves. A small step for Agile, a giant leap for humanity’s sanity.