Planning and Reviewing: Software Engineering Revolution
I remember when coding meant diving headfirst into lines of code for hours. But now, with AI tools, it’s all about planning and reviewing. Let me take you through this seismic shift and how Vibe Kanban played a pivotal role in optimizing our workflows. Software engineering is transforming, and I've witnessed it firsthand. We're moving from hands-on coding to strategic planning, backed by tools that save us hours. With Vibe Kanban, I learned to orchestrate planning that saves us 20 minutes for every half an hour of coding. This isn't just theoretical—it’s a real change I experience daily.
I remember when coding meant diving headfirst into lines of code for hours. Nowadays, AI has flipped that script entirely. In my agency, we spend more time planning and reviewing than hands-on coding. It's a real paradigm shift, and Vibe Kanban is crucial in this transition. Thanks to these tools, we're saving 20 minutes for every half-hour of coding just by planning better. I've had to relearn coding, and it starts with strategy. AI forces us to be smarter—spending five minutes planning can save us 30 minutes of reviewing. But be cautious, even with these tools, you need to critically assess the AI-generated code. It's not perfect, far from it, but it's a revolution we can't ignore. So, how do you integrate this change into your workflow? I'll share my experiences and mistakes to help you avoid getting burned like I did in the early days.
The Shift to Planning and Reviewing
AI tools have truly shifted the landscape of software engineering. Nowadays, engineers find themselves planning and reviewing far more than coding. Take, for instance, the 20 minutes saved for every 30 minutes of coding thanks to AI. It's remarkable, isn't it? But that's just scratching the surface. Spending just five minutes planning can save you 30 minutes of reviewing. Simple, yet impactful.
It's not just about saving time. The role of the engineer is evolving from a coder to a strategist. This shift allows for more strategic oversight and less time lost in coding rabbit holes.
Plan-based vs Review-based Approaches
So, which approach is better? Planning upfront or constant reviewing? With AI, it's best to combine both. The plan-based approach emphasizes upfront design and strategy. You prepare, you anticipate. On the flip side, the review-based approach focuses on constant feedback and iteration.
Combining these approaches is ideal, but watch out: it involves frequent context switching. It's like juggling flaming balls. Plus, there's the risk of over-relying on AI, which can be a trap.
- Plan-based approach: Less reviewing, but more time upfront.
- Review-based approach: More reviewing, but quicker and more flexible.
- Combination: Ideal but complex to manage.
Evolution of Coding Agents and Execution Times
The modern coding agents are something else. They're parallelizing tasks, cutting down execution times significantly. What used to take hours now takes minutes, thanks to AI. It's like having a team of developers working in parallel.
But watch out, managing multiple agents simultaneously can become complex. It's crucial to orchestrate everything efficiently.
Vibe Kanban's Role in Workflow Optimization
We integrated Vibe Kanban into our processes, and it was a game changer. This project optimized task management and execution, aligning with AI-driven changes. Even though the project has ended, the lessons learned continue to influence our workflows.
Challenges and Future of AI in Software Development
AI-driven QA processes are still evolving, but there's potential. The balance between human oversight and AI autonomy is crucial. Future plans involve integrating more advanced AI tools.
But watch out for challenges: maintaining code quality and managing AI limitations are essential.
In summary, software development with AI is an exciting yet complex journey. It's essential to stay agile and continue learning from past experiences to optimize our future workflows.
In the realm of software engineering, we're seeing a significant shift towards a more strategic, AI-assisted approach. From my perspective, it's clear: we're saving 20 minutes for every half hour spent coding thanks to AI tools. But it's not magic. Spending five minutes planning can save 30 minutes of reviewing AI-generated code. That's where Vibe Kanban's impact on workflow optimization still resonates, even though it's closed. Watch out though, for limits like constantly jumping in and out of context, which can cost us 30 seconds here and there. Looking ahead, I'd say integrating these insights into your development processes is essential. Embrace the change, but always keep an eye on the trade-offs. I encourage you to check out Louis Knight-Webb's original video for deeper insights—it's a real game changer. Watch the video here.
Frequently Asked Questions
Thibault Le Balier
Co-fondateur & CTO
Coming from the tech startup ecosystem, Thibault has developed expertise in AI solution architecture that he now puts at the service of large companies (Atos, BNP Paribas, beta.gouv). He works on two axes: mastering AI deployments (local LLMs, MCP security) and optimizing inference costs (offloading, compression, token management).
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