What Exactly Are 'Deliverables' In Software Development?
Software development has a lot of jargon, and one of the tricky parts of working in the industry is that not everyone uses the jargon consistently.
The way that software developers write and ship code has usually progressed in a steady march, marked by incremental improvements and refinements.
However, there are moments in time when the industry makes a big leap forward.
Now, we stand at the precipice of the next big leap: generative software development.
Generative software development is using LLM-driven "generative AI" tools to automate the creation of software requirements, designs and code.
This starts with simple AI coding assistants, which are great, but they are really just scratching the surface. Generative AI will soon enable developers to capture standardized requirements, create user stories, build technical blueprints, UI/UX diagrams and more.
Take 8base's Archie, for example. Starting with a simple text prompt, Archie enables in-house teams to define their requirements more thoroughly and more quickly, easing communication between technical and non-technical stakeholders.
For software development agencies, Archie's rapid conceptualization features allow those agencies to go from discovery call to signed contract much sooner, boosting their profitability.
(Archie is free to try, by the way)
Think of it in terms of the grand timeline of software development advances —
Object-oriented programming gave rise to the highly structured and versatile software languages we use today. Then, agile and DevOps streamlined and supercharged the software development lifecycle.
Today's software engineers are highly skilled practitioners of not just code manipulation, but problem solving and deep analytical thinking.
However, many software development projects still sputter, struggle and fail, not due to any engineering issues, but rather from inefficient processes and incomplete inputs collected from stakeholders.
Things are about to change.
When we think of the phrase "developer experience," we usually think of the interfaces that engineers use when working with APIs or development tools.
However, a significant part of developer experience involves interactions with business and product professionals.
Tools like Jira and Confluence have improved aspects of the software development lifecycle, but they often fall short in preventing process inefficiencies. This can lead to bugs, meetings and added quality assurance requirements, resulting in bureaucratic overhead and finger-pointing.
When tools like Archie automate the creation of detailed, accurate documentation and requirements, it eliminates the friction that developers face. This leads to fewer misunderstandings and a more streamlined workflow, enabling engineers to really do what they are good at.
As generative AI has risen in the public consciousness, it has raised a lot of justified fear that it will be used to replace engineers and designers. It's a scene where the "engineers writing code" get automated away by the AI bots doing the work.
As generative software development evolves, we have to be careful to ensure that this doesn't happen.
The job of an engineering team is to deliver great software as fast, as good, and as inexpensively as possible, so automating administrative work should be treated as a process improvement, and serious businesses will still turn to professionals to deliver quality work.
Why not adopt a technology that enables teams to deliver solutions in a matter of weeks instead of months?
Generative software development represents a paradigm shift, where AI not only accelerates the development process but also elevates the role of engineers by providing them with tools to make them successful.
This transformative approach promises to redefine the future of software development, making it more efficient, accurate and enjoyable
We're excited about helping you achieve amazing results.