Letting Agents Run the First Draft of My SDLC (Safely)

Engineers spend an exorbitant amount of time on the "blank page" phase: writing boilerplate, mocking out test files, and drafting standard CRUD logic. What if you could compress the first 80% of feature development into an automated pipeline? By chaining AI agents together with distinct roles—Planner, Implementer, Tester, and Reviewer—you can automate the first draft of your Software Development Life Cycle (SDLC). However, naive agent pipelines are notoriously fragile and insecure. If you just chain prompts together without structural validation, you will inevitably hit Markdown parsing errors, or worse, prompt injection vulnerabilities that write malicious code. Here is how to build a sequential agent pipeline that drafts a feature from a Jira ticket to a fully tested, reviewed Pull Request, complete with the security and testing guardrails a senior engineer demands. Why This Matters General-purpose code assistants (like Copilot) are reactive; they wait for you to type. Agentic SDLC p