Agentic engineering
Autonomous workflows with explicit state, observable failures, and human judgment at the right points.
Forward deployed engineering / agentic systems
Turning AI into dependable, everyday engineering.
I work inside engineering teams to build agentic delivery systems and developer platforms, and I stay through the handoff so the people who run them can change them.
delivery-run / idleSimulation · runs in your browser
Waiting for a ticket
This is a working model of the delivery system I build for teams. Assign a ticket. You are the human at both gates.
01Selected work
Four systems, built to be handed over.
Case studies from consulting engagements and internal platforms. Client names and private repositories are left out.
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01
Enterprise SaaS engagement
Agentic delivery
From stalled prototype to repeatable delivery.
< 5 weeksfrom prototype stabilization to rollout -
02
Internal developer platform
AI Hub
Team knowledge that travels between tools.
32desktop releases in July–August 2026 -
03
Training & reusable practices
Developer enablement
The handoff is part of the product.
11modules in a validated training build -
04
Consulting & digital experience
Enterprise engineering
Useful software inside real constraints.
2022–26enterprise consulting at Slalom
02An unconventional path
Different disciplines. One way of thinking.
I'm an Associate Director and Senior Forward Deployed Engineer at Vista Equity Partners. Before that I spent four years consulting at Slalom, on work that ran from discovery and architecture through implementation, security, release engineering, and the handoff to the people who operate it.
Before software, I spent more than a decade as a professional poker player and won a World Series of Poker bracelet. That experience still shapes how I work: model the system, question the assumptions, and make the best decision the evidence supports.
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2009–2020
Professional poker player
Self-employed
Probability, independent study, and decisions under uncertainty. World Series of Poker bracelet winner.
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2021
Software engineering
Bloom Institute of Technology · Range Trainer Pro
Full stack training, then React development on a poker-training application.
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2022–2026
Slalom
Consultant, Full Stack Developer
Enterprise platforms for healthcare, financial services, and the public sector, then AI enablement: agentic delivery, AI Hub, and developer training.
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NOV 2026–NOW
Vista Equity Partners
Associate Director, Senior Forward Deployed Engineer
Forward deployed engineering with Vista Consulting Group. Remote.
03Decision lab
A good decision, or a lucky outcome?
Poker taught me to grade the decision, not the result. Make one decision here, then watch how it plays out over a thousand runs. The simulation is real and runs in your browser.
Scenario 1 of 19Flush draw
Your hand
A♥7♥
Opponent
A♠K♦
Board
K♥9♥4♣2♠
You are behind with four to a flush and one card to come.
Opponent's bet
Your opponent bets $50 into a $100 pot. Call $50 to win $150.
Call or fold?
Your opponent's cards are face up so the odds are exact. There is no betting on the river.
04What I keep working on
Four questions I return to.
Developer experience
Portable context, useful tooling, and systems that teams can operate and extend without their creator.
Decision systems
Probability, incentives, feedback loops, and the difference between a good decision and a lucky outcome.
Human enablement
Runnable examples, concise documentation, and teaching that changes how people actually work.
05Start a conversation
Get in touch.
AI engineering, agentic systems, developer tooling, or a problem worth thinking through.
cbianchi@protonmail.com