Governed AI Coding Assistants for Enterprise Development
AI coding tools are transforming development, but most generate suggestions from public training data with no awareness of your codebase, security policies or architectural standards. The Progress® Data Platform powers AI coding assistants grounded in your code, documentation and rules, with policy guardrails, citations and human review.
What Matters
Faster Lead Time to Production
AI suggestions already align with your architecture, reducing rework and review cycles
Higher Review Pass Rates
Code reviews become verification, not correction, when suggestions follow your standards
Fewer Escaped Defects
Policy-aware generation prevents common mistakes before they enter the codebase
Accelerated Developer Onboarding
New engineers discover patterns, docs and standards through AI trained on your codebase
The challengeWhy AI-Assisted Development Breaks Down
AI coding assistants promise faster development. But without awareness of your organization's standards, security policies and architectural patterns, they deliver speed without safety.
Generic code suggestions amplify technical debt, conflict with your naming conventions and introduce security risks that code reviews must catch. Engineers still spend more time navigating legacy code and searching outdated documentation than writing new logic.
In enterprise development, ungoverned AI suggestions are not just a productivity issue; they are a quality and security risk.
The solutionHow AI Codes to Your Standards, Not the Internet's
The Progress® Data Platform grounds AI coding assistants in your actual codebase, documentation and organizational standards. Every suggestion is checked against your policies before it reaches a developer.
Security requirements, coding standards and compliance rules are codified into the platform. When AI confidence is low or changes touch critical systems, configurable human review gates verify so nothing ships without approval.
The Result
Faster, safer development with AI that knows your code as well as your best engineers.
Which Ones Power AI Coding Assistants
Contextual understanding of your codebase, naming conventions and design patterns
Policy guardrails enforcing security, coding standards and compliance requirements
Citations tracing every suggestion back to source code, docs or standards
Configurable human review gates for high-stakes or low-confidence changes
Integration with existing integrated development environments (IDEs), version control and CI/CD toolchains
What Enterprise AI Opportunity Is in Development
AI adoption in product development and IT is accelerating. 78% of organizations now use AI in at least one business function, with GenAI most prevalent in product development, service operations and IT.
Source:
McKinsey 2025 Global AI SurveyMeanwhile, 67% of enterprise decision-makers are increasing GenAI budgets year over year, signaling that governed AI-assisted development is moving from experimentation to enterprise priority.
Source:
Forrester 2024 AI Pulse Survey
Pharmaceutical Leader Transforms R&D Search Powered by Progress Data Platform RAG Capabilities and Gen AI
When it comes to bringing a new drug to market, powerful enterprise search capabilities are vital to success. For one pharmaceutical leader, their search process had become fragmented among disconnected applications, document repositories and internal portals. To get the process back on track, the organization deployed a RAG search solution using the Progress Data Platform.
