Strategic Content Plan: slavikdev.com (CTO & Reliability Edition)
Goal: Establish authority as a Strategic AI CTO who specializes in System Reliability and AI-Native Platform Engineering.
1. Clear Positioning Statement
“The AI-Native CTO. I bridge deep-tech (GPU/Compilers) with resilient platform engineering. I help organizations build self-healing systems and navigate the shift from human-driven to agentic-driven reliability.”
Why this works: It highlights your unique “Unfair Advantage”: you aren’t just building a language (Miri) or a platform, you are the person who ensures they are reliable at scale. This is the #1 concern for CEOs when adopting AI.
2. The 4 Strategic Content Pillars
Pillar 1: AI-Native Reliability & Incident Management
- Focus: Self-healing systems, automated triage, and the future of SRE.
- Angle: “Incident Management as an AI Problem.” How to use LLMs to reduce TTD (Time to Detection) and TTR (Time to Resolution).
Pillar 2: Deep Systems for the AI Era (MiriLang & GPUs)
- Focus: Compilers, memory safety, and high-performance GPU kernels.
- Angle: “Performance is a Reliability Feature.” Proving mastery over the hardware/software boundary where AI actually runs.
Pillar 3: Agentic Leadership & Organizational Velocity
- Focus: Managing hybrid teams, hiring in the AI era, and the “Nobody’s Code” problem.
- Angle: Leadership at scale. How to lead 40+ people when the nature of engineering work is fundamentally changing.
Pillar 4: AI Strategy, Risk, & ROI
- Focus: FinOps, Compliance (EU AI Act), and the CTO’s decision-making framework.
- Angle: Strategic pragmatism. When to build, when to buy, and how to manage the technical debt of “Generated Code.”
3. Extended Roadmap (Weekly Cadence)
| Month | Week | Post Title | Pillar | Strategic Angle |
|---|---|---|---|---|
| Apr | 1 | “The Platform Engineering Debt: Why IDPs fail at 40+ people” | 1 | Scaling leadership authority. |
| 2 | “The AI Incident Commander: Modernizing Reliability at Scale” | 1 | Replaces duplicate. Focuses on your core domain. | |
| 3 | “The ‘Nobody’s Code’ Problem: Leading Teams in the Age of Agents” | 3 | AI-native team management. | |
| 4 | “AI FinOps: Managing the Hidden Costs of LLM Infrastructure” | 4 | Strategic financial oversight. | |
| May | 1 | “Architectural Decision Records (ADRs) as Agent Training Data” | 3 | Strategic leverage of AI. |
| 2 | “Miri Series: Why MiriLang uses Reference Counting instead of GC” | 2 | Technical trade-offs/Mastery. | |
| 3 | “The Death of the Ticket: Moving to Agentic Platform Support” | 1 | Future of DevEx & Support. | |
| 4 | “Evolution vs. Revolution: AI-Assisted Legacy Modernization” | 4 | Pragmatic leadership. | |
| Jun | 1 | “Measuring Platform Success: Moving Beyond DORA to AI-Velocity” | 1 | Director-level metrics. |
| 2 | “Miri Series: Making GPUs a First-Class Citizen in the Compiler” | 2 | Hardware/Software stack. | |
| 3 | “The EU AI Act for CTOs: A Pragmatic Compliance Guide” | 4 | European market authority. | |
| 4 | “Predictive Reliability: Using LLMs to Surface Weak Signals Before Outages” | 1 | New Topic. Proactive SRE vision. | |
| Jul | 1 | “Self-Healing Platforms: Using LLMs for Real-Time Incident Remediation” | 1 | Cutting-edge Ops. |
| 2 | “Miri Series: What LLMs Mean for Programming Language Syntax” | 2 | Future-aware tech vision. | |
| 3 | “Leading the Machine-Human Hybrid: The New EM Playbook” | 3 | Future of engineering orgs. | |
| 4 | “Cloud Native is over. Long live AI Native.” | 4 | Bold market positioning. | |
| Aug | 1 | “Standardization vs. Innovation: The CTO’s AI Dilemma” | 4 | High-level decision making. |
| 2 | “Miri Series: Memory Safety in a World of Concurrent GPU Kernels” | 2 | Safety & Performance. | |
| 3 | “The Future of On-Call: Why AI Agents will be your Primary Responders” | 1 | New Topic. Impact on people/rotation. | |
| 4 | “The ‘Bus Factor’ in the Age of AI: Who owns the logic now?” | 3 | Organizational risk. | |
| Sep | 1 | “Building the Paved Path for Generative AI Workloads” | 1 | Practical platform value. |
| 2 | “Miri Series: The Roadmap to V1 and What I Learned” | 2 | Resilience and long-term tech projects. | |
| 3 | “Recruiting for 2027: What I look for in AI-Native Engineers” | 3 | Thought leadership in hiring. | |
| 4 | “The 2026 CTO Handbook: Lessons from Building Miri and Scale Platforms” | 4 | Final synthesis of authority. | |
| Oct | 1 | “Chaos Engineering in the AI Era: Testing the Unpredictable” | 1 | New Topic. Reliability in probalistic systems. |
| 2 | “Miri Series: Building a High-Performance Standard Library in Rust” | 2 | Deep technical execution. | |
| 3 | “The Strategic CTO: Balancing Deep-Tech R&D with Business Execution” | 4 | The “CEO’s Partner” perspective. | |
| 4 | “From Incident Commander to Platform Architect: A Career Retrospective” | 1/3 | Personal branding/Storytelling. |
4. Distribution Strategy (Weekly Cycle)
- Monday: Publish Blog Post + Substack.
- Tuesday: LinkedIn “Executive Summary” (The ‘What’ for CEOs/Directors).
- Thursday: LinkedIn “Technical Deep Dive” (The ‘How’ for Staff Engineers).
- Friday: Engage with 5-10 posts from other CTOs/VPs in the AI space.
5. Next Steps for Slavik
- Incident Data: For the Pillar 1 posts, draw on your current experience owning Incident Management. Use anonymized “War Stories” to make the content specific and opinionated.
- Reliability as the Bridge: Use reliability as the thread that connects Miri (safe systems) to the Platform (paved paths) and AI (unpredictable behavior).
- Archive Junior Content: Continue to ignore generic management topics. Your brand is now “The Resilient AI Architect.”