The biggest shift AI is bringing isn’t just what’s being built or the new tools – but also the people behind the innovation. We’re moving away from relying solely on developers with extensive coding expertise, to a variety of individuals and team structures to bring solutions to life.
At the same time, development cycles are still riddled with legacy issues: technical debt, unrealistic testing environments, and fragmented governance. These recurring hurdles are holding teams back from meeting the speed and quality expected by this age of AI.
It’s time to reimagine development cycles for the agentic era. Teams need a modern, adaptable framework to uphold AI’s promise.
Different development teams, different needs
Every team needs modern tools that can evolve with their growing workload, and help them deliver and scale the agentic AI projects that leaders and lines of business are asking for.
There is a spectrum of teams depending on the types of tools they use, complexity of the project, and resources available. A development “team” might look like:
- A single admin getting everything from small changes to big builds done solo.
- Teams that need to coordinate across different individuals and skillsets to get projects across the line with a variety of tools
- AI-accelerated teams that are leaning into vibe coding tools to expedite their dev cycles
Whatever your team looks like, all teams need modern tools that help them deliver and scale the agentic AI projects that leaders and lines of business are asking for.
Secure, scalable AI delivery starts here
Get the 4 key steps designed to tackle AI complexity, providing actionable insights and clear guidance for quick and secure innovation.
The 4 step process for agent and app development
Salesforce’s approach is designed to be comprehensive, but flexible to custom fit the size and skillset of your team and business priorities. There are four steps main steps:
- Build
- Test
- Deploy
- Observe
Throughout the entire process, governance is built-in to make sure the most sensitive data stays compliant and secure.
Let’s unpack each of these steps.
Stage 1. Build
Rapid innovation requires a secure environment, also known as a sandbox. By working in an isolated space, teams do not have to worry about impacting live business operations as they build their solutions.
To build effectively, team members are equipped with their tools of choice. Each type of tool has its own strengths and uses:
- Vibe coding enables anyone to turn ideas into apps, agents, and workflows by simply telling AI what to do.
- Low code helps admins and citizen developers configure apps and agents using visual components.
- Traditional pro-coding isn’t going away — rather, it’s being reallocated. As low-code and vibe coding handle the straightforward aspects of a project, coding from scratch shifts toward the elements that need the most customization.
Bring vibe coding to your enterprise
Check out our guide to learn how enterprise vibe coding empowers teams to build innovations their way – without ever compromising on trust and security.
Stage 2. Test
Today’s AI-driven development demands continuous, realistic testing at every step. An environment that mirrors your product setup, like a Full Copy Sandbox, ensures that testing is realistic. Performance, reliability, and compliance problems get identified early, saving teams from surprises down the road.
Pro tip: Seed test environments with only the data needed for each scenario. Complement this by masking the data to uphold customer privacy and compliance. This combination speeds up testing and reduces the risk of exposing sensitive info.
Stage 3. Deploy
No more last-minute scrambles or manual patching. Predictable deployments come from automation, clear visibility, and tight version control.
With a streamlined deployment process, teams can avoid business disruptions and human errors. The platform’s built-in DevOps tools opens the door for a consistent process. In turn, boosting collaboration, reducing confusion, and helping teams deliver quickly with confidence. Deployment becomes reliable and repeatable — not a high-stakes event.
Stage 4. Observe
Launching your agent or app isn’t a finish line — it’s the start of a feedback loop. Real success comes from ongoing observability that helps you monitor agent behavior, spot issues early, and optimize over time.
With time, performance evaluations, and user feedback, your solution can always get better over time.
Governance from the start
Myth: security slows innovation down.
The truth is, security is critical to scale and deploy high quality solutions. Effective governance only accelerates innovation because developers aren’t tacking on consistency, compliance, and reliability at the very end of the process. Instead, it’s woven throughout each stage.
When you’re thinking about security policies, agent guardrails, and data compliance throughout the process, you’re building a framework that scales with your innovation. When governance is integrated, your team spends less time managing risk.
One trusted platform. Three layers of security.
At Salesforce, the security of your data is core to everything we do. We outline our shared responsibility model and offer insights to help you make informed decisions about your security strategy.
The power of the platform
Salesforce provides a comprehensive, end-to-end toolkit for your team’s entire development lifecycle. At the same time, we understand that Salesforce development does not exist in a silo. Developer teams can tap into the expertise of the Salesforce partner ecosystem on AppExchange or AgentExchange. Many third-party integrations are also available to seamlessly bridge your existing tech stack with the Agentforce 360 Platform.
If you’d like to dig deeper into the Salesforce agent and application development process, read the guide, The 4 Step Process for Agent and Application Development on Salesforce.
