Move cover prompts to COVERS.md

Author: webstackdev

.vscode/cspell.json

@@ -3,6 +3,7 @@
     "astro",
     "astrojs",
     "braniac",
+    "cicd",
     "Cirkel",
     "devs",
     "Emittery",

COVERS.md

@@ -129,13 +129,3 @@ The cultural change was notable too. Engineers started making smaller, more freq
 - _Measure before you optimize_. The build time breakdown revealed that tests were 40% of the problem, but caching would give quick wins. Without that analysis, we might have spent weeks on the wrong thing.
 - _Affected-only testing is transformative for monorepos_. Running everything on every change is the default, but it's wrong. Nx or similar tooling that understands your dependency graph can reduce CI scope by 70-80% for typical PRs.
 - _Flaky tests require a program, not a heroic fix_. You can't fix 47 flaky tests in a weekend. Quarantine to stop the bleeding, dashboard to track progress, prevention to stop the leak. Systematic beats heroic.
-
-## Cover Prompts
-
-1. A stylized pipeline visualization transforming from a long, winding maze with bottlenecks to a short, direct flow with parallel streams, showing acceleration and efficiency, gradient from red (slow) to green (fast), tech illustration style
-
-2. Abstract representation of time compression—a clock face being squeezed from 45 to 8, with build artifacts and test icons flowing through rapidly, suggesting speed improvement, clean vector design with motion blur effects
-
-3. Split view showing chaotic, failing test results and retry buttons on the left side, transforming into clean green checkmarks and parallel execution lanes on the right, before/after transformation concept
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-4. Isometric view of a monorepo structure with packages connected by dependency lines, some paths highlighted showing the "affected only" optimization concept, with speed indicators and caching symbols, technical but approachable illustration

src/content/case-studies/cicd-pipeline-overhaul/index.mdx

@@ -73,13 +73,3 @@ The migration completed two weeks ahead of the lease deadline. The quantified ou
 - _Lift-and-shift is a valid strategy when you have a deadline_. Trying to modernize and migrate simultaneously is tempting but risky. Get to the cloud first, then optimize. We containerized applications during migration because it made deployment easier, not because we were trying to re-architect.
 - _Undocumented integrations will surprise you_. Budget time for discovery. The EDI integrations we found added three weeks to the timeline. Every legacy environment has these hidden dependencies.
 - _Train the team before the critical phases_. Moving non-critical systems first wasn't just about reducing risk—it was about building confidence and competence. By the time we migrated the tracking platform, the team had already done a dozen smaller migrations successfully.
-
-## Cover Prompts
-
-1. Abstract visualization of data flowing from an old brick building to a modern cloud formation, with package tracking icons and delivery truck silhouettes integrated into the data stream, cool blue and orange color palette, corporate tech illustration style
-
-2. Split-screen composition showing a dimly lit server room on the left transforming into bright, organized cloud infrastructure symbols on the right, with logistics elements like shipping routes and warehouse icons bridging the transition, isometric design
-
-3. A stylized highway interchange at night with glowing data packets traveling along the roads, some routes leading to traditional data center towers and others curving upward into cloud formations, suggesting migration in motion, cinematic lighting
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-4. Network topology diagram reimagined as a city map, with legacy infrastructure shown as older buildings being connected by modern transit lines to sleek cloud district towers, logistics trucks visible on the streets below, blueprint aesthetic with accent colors

src/content/case-studies/cloud-migration-logistics-platform/index.mdx

@@ -247,13 +247,3 @@ The ongoing impact was equally significant. Six months later, they passed their
 - **Make compliance the default**: When compliant configurations are the only option (via Terraform modules and guardrails), developers don't have to think about compliance. Security becomes invisible infrastructure, not a tax on every feature.
 
 - **Start with gap analysis, not tools**: Understanding exactly what HIPAA requires—and how it maps to your current state—focuses effort on what matters. Many startups buy expensive compliance tools before understanding their actual gaps.
-
-## Cover Prompts
-
-1. A digital shield with a medical cross symbol at its center, surrounded by flowing streams of encrypted binary code and lock icons, healthcare blue and secure green color palette, abstract cybersecurity visualization
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-2. Isometric illustration of a hospital building connected to cloud infrastructure with visible security layers, automated compliance checkmarks appearing along data pathways, clean modern tech illustration style
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-3. Abstract visualization of policy documents transforming into glowing code blocks, medical symbols integrated into a circuit board pattern, representing compliance as code, blue and teal gradient background
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-4. Split composition showing manual paper-based audit process on left transforming into automated digital dashboard on right, healthcare and technology fusion, progress and modernization theme

src/content/case-studies/compliance-automation-hipaa/index.mdx

@@ -87,13 +87,3 @@ The dev environment consolidation deserves special mention. Eight separate envir
 - _Start with visibility_. You can't optimize what you can't measure. The tagging audit and cost attribution work was unsexy but essential. Once teams could see their costs, optimization happened organically.
 - _Quick wins build credibility_. Cleaning up unused resources in the first two weeks saved $9,000/month and proved we were making progress. That credibility made the harder conversations about architecture changes easier.
 - _Right-sizing fears are usually unfounded_. Engineers oversize instances because they're worried about the unknown. Actual utilization data almost always shows massive headroom. Load test to prove it, then make the change.
-
-## Cover Prompts
-
-1. An abstract bar chart transforming from tall expensive columns to shorter optimized ones, with cloud infrastructure icons and dollar signs floating around, gradient from red (expensive) to green (optimized), modern corporate illustration style
-
-2. A stylized AWS billing dashboard being squeezed or compressed by hands, with savings pouring out the bottom like coins, clean vector illustration with orange and teal color palette
-
-3. Isometric view of a cloud data center with some server racks fading out or becoming transparent while remaining ones glow brighter and more efficiently, representing consolidation and optimization, tech illustration style
-
-4. A magnifying glass examining cloud infrastructure icons, revealing hidden waste items (zombie resources, oversized servers) being swept away, transformation from cluttered to clean, minimalist design with accent colors

src/content/case-studies/cost-optimization-saas-startup/index.mdx

@@ -284,13 +284,3 @@ The business impact was immediate. The real-time dashboards became a competitive
 - **Schema management is cultural change**: In request/response, you coordinate deployments. With events, you need contractual guarantees that schemas evolve safely. Investing in Schema Registry and compatibility rules early prevented painful breaking changes later.
 
 - **Start with replay capability**: The ability to reprocess events from the beginning is invaluable for debugging, disaster recovery, and building new consumers. SQS's lack of replay would have been a constant limitation. Choose infrastructure that supports your future needs, not just today's.
-
-## Cover Prompts
-
-1. Abstract visualization of data flowing from multiple source nodes through a central streaming pipeline to multiple consumer endpoints, real-time pulse effects, dark background with glowing data streams in blue and orange
-
-2. Split composition showing tangled synchronous API call chains on left transforming into clean event-driven architecture on right, before/after visual metaphor, technical diagram aesthetic
-
-3. Isometric illustration of a Kafka cluster as a central hub with producers and consumers orbiting around it, event messages visualized as packets flowing through topics, modern tech infrastructure style
-
-4. Real-time dashboard display showing live metrics updating, overlaid with flowing event stream visualization, adtech/analytics aesthetic with graphs and data points, dynamic motion blur effects

src/content/case-studies/event-driven-architecture-migration/index.mdx

@@ -169,13 +169,3 @@ One moment captured the shift: a junior engineer resolved a SEV2 incident at mid
 - **Blameless culture is a precondition**: Without psychological safety, you can't learn from incidents. Getting leadership commitment to blameless postmortems was the foundation everything else built on.
 
 - **Measure what matters**: Tracking MTTR, recurrence rates, and on-call burden gave us data to demonstrate progress and identify what needed attention. What gets measured gets improved.
-
-## Cover Prompts
-
-1. A chaotic firefighting scene with scattered alerts and stressed figures on one side, transforming into a calm command center with organized screens and structured workflow on the other, showing the shift from reactive to proactive, warm-to-cool color gradient
-
-2. A stylized runbook or playbook being opened, with clear step-by-step instructions flowing out and connecting to different incident types, suggesting documentation as the solution to chaos, clean vector illustration
-
-3. Abstract representation of an on-call rotation wheel with clear escalation paths branching out, severity levels color-coded, and backup engineers visible at each tier, organized and reassuring design
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-4. Split image showing a lone engineer overwhelmed by a storm of alerts at night versus a coordinated team with an Incident Commander directing response during daylight, emphasizing the shift from isolation to structured support

src/content/case-studies/incident-response-modernization/index.mdx

@@ -143,13 +143,3 @@ The abandoned resources got cleaned up too. We identified 180 resources that wer
 - _Import before you refactor_. The instinct is to design a beautiful module structure and rebuild everything cleanly. Resist it. Import what exists first, prove it works, then refactor incrementally. You can't improve what you don't control.
 - _Remote state and locking are non-negotiable_. The previous failed attempt taught this lesson painfully. State file corruption or conflicts will happen if you don't prevent them. S3 + DynamoDB locking is table stakes.
 - _PR-based workflows change behavior_. Once all changes required a PR, the "quick fix in the console" pattern stopped. Engineers adapted because the new process was actually easier—running `atlantis apply` is less work than clicking through the console, and rollback is trivial.
-
-## Cover Prompts
-
-1. Abstract transformation from chaotic scattered AWS console icons and manual click cursors on one side, morphing into organized, structured code blocks and Git branch diagrams on the other, gradient from messy orange to clean blue, modern tech illustration
-
-2. A stylized construction blueprint being digitized, with infrastructure icons (servers, databases, networks) appearing as clean architectural drawings emerging from paper into holographic code, blueprint aesthetic with tech accents
-
-3. Split image showing a tangled web of cloud resources connected by chaotic lines on the left, transforming into the same resources neatly organized in a version-controlled tree structure on the right, isometric design
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-4. A keyboard key labeled "Apply" being pressed, with organized infrastructure blocks cascading out in formation like digital dominoes, suggesting automated provisioning, clean vector style with depth

src/content/case-studies/infrastructure-as-code-transformation/index.mdx

@@ -125,13 +125,3 @@ The cultural change was as significant as the metrics. "Check Backstage" became
 - _Start with the catalog_. It's tempting to build the whole platform before launching, but the catalog alone delivers massive value. Get services registered, get teams using it for discovery, and add capabilities incrementally based on what teams actually need.
 - _Adoption must be voluntary to stick_. Mandated adoption creates compliance without engagement. Build something useful for champion teams, let them succeed publicly, and others will follow. The last 10% will come onboard when not being in the catalog becomes embarrassing.
 - _Keep docs in the repos_. Documentation initiatives fail when they require engineers to go somewhere else. TechDocs succeeded because engineers could write Markdown in their IDE and commit it with their code. The friction reduction made the difference.
-
-## Cover Prompts
-
-1. A central glowing hub with multiple pathways radiating outward, each pathway connecting to different service icons (databases, APIs, frontends), representing the unified developer portal, clean isometric design with purple and teal accents
-
-2. Abstract visualization of scattered documentation pages, code repositories, and service icons being pulled together by magnetic force into an organized catalog structure, showing transformation from chaos to order, modern tech illustration
-
-3. A stylized compass or wayfinding interface surrounded by microservice nodes, suggesting navigation and discovery through a complex ecosystem, Backstage-inspired color palette with gradients
-
-4. Multiple browser windows and terminal screens consolidating into a single unified dashboard view, with developer avatars finding their way through a clear pathway, emphasizing the "single pane of glass" concept