CopadoCon 2025

Hackathon

Build the future of Salesforce DevOps with AI and compete for glory (and cash!) live at CopadoCon.

The Challenge

1. Pipeline Intelligence Dashboard

Problem Statement

Pipeline Intelligene Dashboard

Teams lack real-time visibility into pipeline health and efficiency. Manual steps, idle environments, deployment bottlenecks, and quality gate gaps go unnoticed until they cause delays. Release managers spend hours gathering data from multiple sources to understand what's slowing down their delivery pipeline, leading to reactive rather than proactive optimization.

What it Does

Analyzes pipeline activity to identify environments sitting idle and suggests consolidation or reallocation

Reviews all manual steps across the pipeline and recommends automation opportunities using Copado Functions, Apex Anonymous or Copado Robotic Testing.

Analyze pipeline activity to identify environments sitting idle and suggests consolidation or reallocation

Tracks deployment failure rates by environment and stage, providing root cause analysis and improvement suggestions

Evaluates existing Quality Gates against best practices and recommends additional gates (Apex tests, CRT, PMD, pull requests) based on metadata types and risk profiles

Identifies underutilized Automation Rules and suggests where they could streamline promotions and deployments

Monitors commit and deployment times, pinpointing bottlenecks (large metadata volumes, slow tests, network issues) with actionable remediation steps

Provides a health score for each pipeline with trend analysis and predictive alerts

Value It Adds

Reduces pipeline optimization time from weeks to hours with AI-driven insights

Increases deployment velocity by 30-40% through automated bottleneck identification

Improves quality gate coverage, catching defects earlier in the development cycle

Maximizes ROI on Copado features by highlighting underutilized automation capabilities

Enables data-driven decisions on environment strategy and resource allocation

2. Intelligent Test Failure Analyzer

2. Intelligent Test
Failure Analyzer

Problem Statement

Intelligent Test Failure Analyzer

When CRT and Apex tests fail, teams waste hours investigating whether failures are caused by bad test data, missing permissions, flaky tests, environment drift, or actual bugs. There's no unified view across test types, and mapping failures back to specific code changes is manual and time-consuming. This creates a bottleneck that delays promotions and erodes confidence in automated testing.

What it Does

Consolidates all test failures from Copado Robotic Testing and Apex tests into a single intelligent dashboard

Automatically categorizes failures using AI: flaky tests, real bugs, data issues, permission problems, environment configuration drift

Traces each failure back to the exact user story, commit, and metadata change that triggered it using Git history and deployment records

Auto-remediates common issues: updates test data, adjusts CRT scripts with self-healing, fixes permission dependencies, synchronizes environment configurations

Analyzes test suite health and recommends which obsolete tests to retire and which new test scenarios to add based on recent production incidents and code coverage gaps

Integrates with Quality Gates to prevent known flaky tests from blocking valid deployments while flagging genuine regressions

Value It Adds

Reduces test failure investigation time from hours to minutes with intelligent categorization

Eliminates 60-70% of false positives through auto-remediation and flaky test detection

Cuts test-related deployment delays by 50%, accelerating time-to-production

Improves test suite quality and relevance, increasing confidence in automated testing

Frees QA and developers to focus on building features instead of debugging test infrastructure

3. Release Train Health & Readiness Dashboard

3. Release Train Health &
Readiness Dashboard

Problem Statement

Release Train Health & Readiness Dashboard

Release readiness is a black box because critical information—test results, deployment status, environment drift, user story progress, quality gate compliance, and documentation completeness—is scattered across Copado, Salesforce, Git, and external tools. Leaders make go/no-go decisions based on incomplete data and tribal knowledge rather than real-time metrics, leading to last-minute surprises and delayed releases.

What it Does

Aggregates all release-critical data into a unified, real-time dashboard: user story status, promotion progress, test results (CRT + Apex), deployment history, merge conflicts, quality gate compliance

Calculates a dynamic release risk score based on: incomplete user stories, failing tests, unresolved conflicts, missing documentation, environment drift, and historical deployment failure patterns

Highlights blockers with impact analysis: which user stories are at risk, which dependencies are unmet, which environments have configuration drift

Provides release readiness checklist with automated validation: all user stories promoted, all tests passing, all quality gates met, release notes generated, rollback plan documented

Sends proactive alerts when risk thresholds are exceeded or critical milestones are missed

Generates executive-ready release reports with trend analysis and recommendations for process improvement

Integrates release documentation requirements, tracking completion of deployment run books, rollback procedures, and stakeholder sign-offs

Value It Adds

Provides complete release visibility in seconds instead of hours of manual data gathering

Catches release risks 2-3 sprints early, preventing last-minute scrambles and missed deadlines

Reduces status meetings by 60% through self-service dashboards and automated reporting

Increases on-time release delivery by 40% with predictive risk scoring and early intervention

Improves stakeholder confidence with data-driven release decisions and comprehensive documentation tracking

4. Permission Set Optimizer & Security Analyzer

Problem Statement

Pipeline Intelligene Dashboard

Salesforce orgs accumulate 100+ permission sets over time, with overlapping permissions, contradictory settings, and unclear ownership. This creates security risks (over-privileged users), compliance violations, and administrative nightmares. No one knows who has access to what, and setting up new users takes hours of trial and error. Security audits are painful because permission sprawl makes it impossible to demonstrate least-privilege access.

What it Does

Scans all permission sets, profiles, permission set groups, and user assignments across the org using Copado Functions (do not AI, as this is a deterministic calculation, and also is too big of a context to pass to the AI to analyze).

Identifies duplicates and overlaps: "PermSet A and PermSet B grant identical permissions to 90% of users—consolidate them"

Detects over-privileged users: "User X has admin-level access from 3 different permission sets—review and reduce"

Finds unused permissions: "This permission set is assigned to 50 users but grants access to objects they never use"

Suggests optimized permission structure based on role-based access control (RBAC) best practices

Shows impact analysis before making changes: "Removing this permission set will affect 12 users across 3 departments"

Generates compliance reports for security audits: demonstrates least-privilege access, tracks permission changes over time

Recommends permission set templates for common roles to streamline new user onboarding

What it Does

Reduces security risk by identifying and eliminating over-privileged access

Simplifies permission management, cutting new user setup time by 70%

Accelerates security audits with automated compliance reporting and clear permission lineage

Improves org maintainability by consolidating redundant permission sets

Prevents permission creep through continuous monitoring and optimization recommendations

Enhances governance with clear visibility into who has access to what and why