Platform & AI engineering leader. Over 20 years across the stack — sysadmin to executive — building the systems, teams, and operating models that turn ambition into delivered outcomes. Software is one piece; the work also covers infrastructure, security, identity, and the operating practices that hold it together. Deep enough to own the architecture. Broad enough to lead across platform, infra, data, app dev, and AI. Currently leading 20+ engineers across 5 functions in US, LATAM, and APAC. Hands on the architecture. Hands on the org. Lead from wherever the pressure is.
role
VP, Digital Innovation
scope
Platform · AI · Infra · Data · AppDev
team
20+ engineers · 3 continents
writes
The Token Economy
Over 20 years across engineering and infrastructure leadership — sysadmin, engineer, manager, architect, executive. The pattern that keeps showing up: solve the technical and the organizational constraints in the same move. The technically right answer the org can't absorb isn't actually the right answer.
What that looks like in practice: large-scale network overhauls and modernization, cloud migrations from legacy datacenters to AWS, high-availability system designs holding 99.99%+ SLAs in 24/7 enterprise environments, disaster-recovery planning and rehearsal. Custom software handling millions of mission-critical authentication events for a revenue-driving platform; security and compliance programs for SOC 2 and PCI customers; AI-native applications on modern serverless and microservices stacks; engineering teams built and grown across architecture, data, infrastructure, and software development. Same instinct each time: cut to the structural fix instead of papering over it.
currently · updated
AI doesn't change what good engineering leadership looks like. It just compresses the timelines for getting it wrong.
01 Lead from wherever the pressure is. Platform, infra, AI, security, frontend, the customer room — versatile across domains because that's what cross-discipline teams need from a leader. Plug in where the work is hardest, then back out once the team can carry it.
02 Architect's depth. Executive's view. Hands stay on the architecture. Eyes stay on the business. The technically right answer the org can't absorb isn't the right answer. I build structure, momentum, and clarity — zoom in on the details, zoom out to the big picture, connect the dots so teams move faster with more confidence.
03 Build the team while building the system. The work isn't done if the team didn't level up doing it. Direct reports across decades keep using the same words — leads by example, creates space for the decision instead of dictating it, leaves engineers better than they were.
04 Brutally honest. Composed under pressure. Trust is the operating system. I tell people what I actually think, stay calm when the system is on fire, and carry the weight of the conversations that go deep — platform, AI roadmap, audit, customer escalation.
05 Always learning, on purpose. Networking through security, cloud, data, AI — over 20 years of deliberate breadth. Finished B.S. and M.S. in Information Technology at WGU in 2025 while running a VP-level org, on top of a long stack of AWS, Cisco, Palo Alto, F5, Okta, and Lean Six Sigma credentials. The breadth is the point — it's what lets me lead cross-discipline teams without losing the thread.
Token Reducer
MIT · GitHub
CLI proxy + Claude Code plugin that recovers Opus cap headroom on Pro/Max subscriptions.
Compresses tool output, swaps grep/glob/read cycles for BM25 search, delegates heavy tasks to cheaper models, and tightens response length. 60–90% token savings per filtered command. Single static Go binary, MIT-licensed.
Custom Claude Code plugin
100+ skills · 11 specialist agents · KB + hybrid search
Claude Code plugin I built for my engineering team — turns the CLI into a disciplined, multi-agent dev team for shipping software with agentic AI tooling.
Opinionated engineering operating system: 100+ skills organized by lifecycle phase (design, implement, review, ship, validate, troubleshoot), 11 specialist agents with bounded tool allowlists and explicit output contracts (architect, senior-implementer, reviewer, security-reviewer, tester, verifier, infra-release, docs-writer, …), ~60 KB articles across 14 categories codifying project standards, an MCP server registry, and a hybrid BM25 + tier-ranked search engine that replaces 5–10 file reads per question with one trust-ranked answer set. Lifecycle state machine persists session context across windows; privacy-first telemetry tracks skill usage and time savings.
Collaborative Kanban with an AI sidekick
real-time · AI chat · automations · family mode
Kanban for teams and families — drag-and-drop boards that update live across every device, with an AI assistant baked into every board.
Drag-and-drop tasks across lists with checklists, due dates, labels, attachments, and a calendar view. Every change syncs in real time across browsers and phones — no refresh, no stale state. Each board has its own AI chat that already knows the work: ask "what's overdue?" or "summarize this PDF I attached" and it can also create, move, and update tasks for you on the spot. A no-code automation builder turns triggers ("task moved to Done", "due date reached") into actions ("notify the assignee", "move it to Archive"). Family mode adds a parent dashboard with COPPA-compliant consent, AI transcript review, and a Socratic Coach Mode for kids that asks guiding questions instead of handing over answers.
Serial essay on the real economy of AI coding agents — what they cost, what they preserve, and how the platform decisions that govern them shape engineering leverage. Broadening through the year from token-layer technical writing into platform strategy and AI operating models.
read the series
in the series
“Skills range from design to security, troubleshooting, and everything in between. An excellent people leader who understands the need to be versatile and adaptive.”
— Chris Frighelis · Global Head, Infrastructure Offensive Security
“Leads by example — deeply understanding the technical details while never losing sight of the broader strategic goals.”
“The benchmark of what an Engineering Leader is supposed to be — fusing business interests with technological challenges while enthusing the team to grow up the technical ladder.”
“A great IT business leader who still maintains architect-level technical proficiency. Simplifies complex IT initiatives so all stakeholders can understand the path to the goal.”
“I can trust him and always count on him to give me the brutal honest truth. Look past the certifications — he's the real deal.”
“High tolerance for demand. Maintains his composure even under the most critical environments.”
Selective speaking, workshops, advisory, and peer conversations on AI-native engineering, platform strategy, and the economics of agentic coding.
Also selectively considering VP / Sr Director platform & engineering roles where scope, autonomy, and team make the move worth it.
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Field notes on platform strategy, AI operating models, and the token economy. One dispatch per essay. No filler. Unsubscribe anytime.
Or reach me at hi@brantleypeers.com.