Sergio Sisternes
Microsoft MVP Developer Technologies - Technology Solutions Director - Azure, AI and GitHub Europe at EMEA
London, United Kingdom
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Sergio is a Microsoft MVP in Developer Technologies and Director at EPAM's Microsoft Business Group, where he is helping clients to create AI Native SDLC platforms and accelerate Azure Application Modernisations programmes with Microsoft and GitHub technologies.
With 16+ years in software engineering, cloud architecture, and IT consulting, Sergio is also a Microsoft and GitHub Certified Professional, active Open Source contributor (microsoft/apm) and frequent speaker in events such as: GitHub Universe (United States), FOSDEM (Belgium), Google Developer Day, Open Source in Finance and numerous enterprise events for clients across EMEA.
Area of Expertise
Topics
Scaling SWE Agents: Manage Agent Primitives Like NPM Packages with Agent Package Manager (APM)
Managing SWE agents at scale is painful: teams copy-paste markdown files (prompts, instructions, skills) across repos, leading to chaos, inconsistencies, and zero reusability.
Enter Agent Package Manager (APM) — the open-source tool from Microsoft that brings real package management to AI agent primitives.
Declare dependencies in a simple apm.yml file → apm install resolves direct + transitive deps → agents auto-configure for GitHub Copilot, Cursor, Claude, Codex, Gemini and more.
In this session, discover how to treat agent primitives (Instructions, Skills, Prompts, Agents, MCP Servers) as shareable, versioned packages — unlocking enterprise-grade collaboration, consistency, and an internal agent library that actually scales.
- Target audience: Engineering leads, AI platform teams, developers building with agentic tools (Copilot, Claude, Cursor etc.)
- Level: 200 (familiarity with AI coding agents helpful)
- Duration: 45–60 minutes (including Q&A) > 25-30 minutes version available
Compounding Intelligence: Software Engineering Principles for Agent Architecture
Large Language Models are powerful, but a single prompt is just a function call. What if we applied the same principles that made software engineering successful (modularity, composition, separation of concerns, single responsibility) to agent design?
This session explores how the open-source Agent Package Manager (microsoft/apm) enables developers to author small, focused agent behaviours (primitives) and compose them into sophisticated systems. We'll walk through the journey from a single instruction file to a fully autonomous second brain: a knowledge system that work along any session, recalls before work, captures after work, ingests sources, answers queries to humans and agents alike, and compounds knowledge over time.
You'll see how:
- Single Responsibility produces primitives that do one thing well
- Composition over inheritance lets small skills combine into complex workflows
- Dependency management (just like npm/pip) makes agent capabilities portable and shareable
- Interface segregation keeps agent context windows lean and focused
- No slides-only theory. We'll dissect a real, production second-brain implementation: its wiki schema, ingest pipelines, query handlers, cross-session messaging, and the knowledge loop that ties it all together.
- Target audience: Software engineers, architects, and technical leads exploring agentic AI patterns. Familiarity with LLMs helpful but not required — software design experience is the prerequisite.
- Preferred duration: 45 minutes (30 min talk + 15 min Q&A), adaptable to 60 minutes with live demo.
Technical requirements: Screen share, no live internet dependency (demo uses pre-recorded flows as fallback).
- Session format: Conference talk / deep-dive.
- Conferences: Suitable for software architecture, developer experience, AI/ML engineering, and DevOps tracks.
- Key takeaway: Attendees leave with a mental model for designing agent systems using familiar engineering principles, and a concrete open-source reference implementation they can fork.
Token-Efficient Agentic SDLC at Scale: Navigating the New Complexity
Token consumption in agentic development is rising fast: more agents, richer loops, deeper tool use. The instinct to simply “use fewer tokens” often leads teams to cut capability rather than improve efficiency.
This session explores practical approaches for building token-aware agentic systems:
- Progressive disclosure of context: index-first design and on-demand loading of focused skills and instructions
- Separating design-time reasoning (frontier models) from runtime execution (more efficient models) through reusable, versioned artefacts
- Matching model tier to task complexity so cheaper models are used where they add value without creating rework
We will also examine common architectural traps (such as always-on tool descriptions and over-aggressive context stripping) and organisational practices that help teams adopt these patterns consistently: Centres of Excellence, governance of the agent/skill supply chain, and secure distribution mechanisms.
The goal is to treat token efficiency as a design concern from the start, so organisations can scale agentic workflows without losing control of cost or quality.
Preferred duration: 45 min (adaptable 30–60)
- Audience: Engineering leaders, platform/DevEx, FinOps, architects & senior developers working with agentic workflows
- Level: Intermediate–advanced
- Format: Talk + real-world examples / discussion of practices
- Tech needs: Projector + HDMI + Internet Connection
South Coast User Group User group Sessionize Event Upcoming
Open Source in Finance Forum London 2026 Sessionize Event
Global Azure London 2026 Sessionize Event
DevFest @ Bletchley Park 2025 Sessionize Event
Global AI Bootcamp - London 2025 Sessionize Event
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