4x increase in development productivity in 6 months
4x decrease in time to market within a year
A path toward a fully automated AI-powered factory!
Eras in Traditional Manufacturing
Goods production evolved through 4 distinct eras, with each transition causing a step-change in productivity, quality, and cost-efficiency.
Era— Workshops — Now
Software development is a relatively new industry that appeared in the middle of the 20th century. Compared to traditional industries, it creates non-material products represented by code executed by computers.
Most software development teams are HERE today
Our clients are already HERE!
Many companies dream about getting into that eraThe term “Software Factory” is often misunderstood in the industry.
It usually refers to automated delivery pipelines (DevOps) and CASE tools to auto-generate software components. This confusion creates a serious issue. While automation can help, it alone cannot create a significant increase in development productivity or cost reduction. Most organizations that have introduced automation report only slight improvements, which are far from achieving 2x or 3x gains.
Many software teams operate as “Agile Workshops” at the 2nd level of software production evolution, but dream of jumping to the last, 4th level, where AI will replace developers entirely.
bespoke implementations and fuzzy development practices are up to developers
broad responsibilities, loosely defined roles, craftsmanship
Ad-hoc organization of work managed through personal communication
right in front of us:
A true Software Factory, where human operations are organized according to factory principles to create a step-change in software production.
Unparalleled results are achievable by bringing more consistency and repeatability to people, processes, and work products.
Standard components
Well-defined operations to build them
And automated production lines to assemble products
lead to a 4x or more increase in software production output while lowering the expertise required for team members and reducing development costs.
Products are built according to reference architectures and consist of standardized, templated components accompanied by implementation instructions.
All team roles have narrowly defined responsibilities and are trained to perform standardized similar and repeatable tasks.
The work process is organized as a sequence of workplaces with clear inputs and outputs where specialized workers perform their operations on standardized components.
In addition, it greatly simplifies the adoption of Generative AI to automate development operations, and
it can be done gradually by increasing the automation level one workstation at a time.
Eventually, this will lead toward a AI-Powered Factory that produces software without direct human involvement.
Compared to a traditional Agile Workshop, the Software Factory model brings a much more systematic and structured approach, enhancing the consistency and repeatability of software development.
Overall, it provides a number of benefits:
Better Quality
Less Complexity
Lower Skill Requirements
Shorter Time to Market
Faster Innovation
Simpler Outsourcing
Lower Development Costs
Easier Maintenance
Faster Developers Onboarding
Contrary to common belief, a Software Factory is not just about automation or reusable software assets. It involves a different organization of work, similar to how traditional factories operate.
Goal: Standardize components and development practices
Methods: Reference Architecture, Reference Designs, Design Patterns, Guidelines, Component Templates
Our Programs to Achieve Standardization: Better Microservices, Better Microfrontends, Better Testing, Better Delivery
Evolution: Incrementally standardize all software development areas and increase the standardization level by adding more patterns, practices, and templates
Goal: Introduce deeper specialization and organize work as development conveyors
Methods: Specialized Roles, Work Product Templates, Developer Instructions and SOPs, Workplace, Conveyor, Technologist, Trainer, Process Engineer
Our Programs to Achieve Standardization: Software Factory
Evolution: Incrementally introduce specialization into different production areas, organize work as conveyors, gradually increase the specificity of roles, and add templates for different work products with detailed instructions
Goal: Automate manual operations with AI and gradually increase automation level to reach the “AI-Powered Factory”
Methods: Automated Workplaces, AI Agents, Trained LLMs, Changing Automation Levels
Our Programs to Achieve Standardization: Software Factory (initial level)
Evolution: ncrementally automate individual workplaces, and gradually raise automation level from Manual to Unsupervised
with fixed price, clear deliverables, guarantees and great bonuses! The Program encompasses 9 key areas:
At Enterprise Innovation Consulting, we enhance productivity in various areas of software development, including:
Automate software delivery, including product packaging, scripted environments, and CI/CD pipelines.
Our programs are crafted to deliver immediate improvements while fostering a culture of continuous innovation.
Enhance your team's structure, clarify roles and responsibilities, and maintain standardized architecture and development practices for lasting success.
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