Slides: Context Is the New Code — Patrick Debois, Tessl
Source Video
Context Is the New Code — Patrick Debois, Tessl
Relationship To World's Fair 2026
These slides are extracted from a public AI Engineer YouTube video connected to World's Fair 2026. Speaker-matched clips are supporting context unless later confirmed as exact session recordings; official livestream recordings are day-level/event-level source material.
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Extracted Slides
OCR text:
PLATINUM SPONSORS
Braintrust WorkOS OpenAI
OCR text:
AI Engineer
EUROPE
2026
Context is the
OCR text:
Context is the new Code
Prompt → Code
Code → Skill
Prompt
Write a function to fetch user
data from an API endpoint.
Add error handling and retry
logic with a timeout.
Code
def fetch_user(uid, retries=3):
for i in range(retries):
try:
r = requests.get(
f"/users/{uid}", timeout=5)
r.raise_for_status()
return r.json()
packaged as
Skill
API Fetch Best Practices
- Always set a request timeout
- Retry on transient errors
- Re-raise on last attempt
Evals
- timeout params set
- retries ≥ 3
Prompt → Code (left) · Code → Skill (right)
Engineering the future of AI
OCR text:
I ❤️ to think in parallels
2009 - What if Ops was like Dev
2025 - What if Context was like Code
Patrick Debois - Product Devrel Tessl
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Context Development Lifecycle
Generate
Making implicit knowledge explicit
Distribute
Context as a package
Evaluate
TDD for context
Observe
Learn from use in the wild
Engineering the future of AI
OCR text:
Prompts - Humans as context engine
Welcome back Patrick!
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Rules, Instructions - Agent.md
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OCR text:
Context Connectors
Connect models to the real world
Servers and tools from the community that connect models to files, APIs, databases, and more.
All MCP servers
Markitdown
Netdata
Github MCP - https://github.com/mcp
Connect Unblocked to your knowledge sources
Install the Unblocked MCP plugin
Engineering the future of AI
OCR text:
Today's Agenda
Pane a ;
01 ¥ Generate — create & curate context
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nid 02 ® Evaluate — test & measure context quality
03 *® Distribute — package & share context
04 © Observe — monitor & improve in production
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OCR text:
Skill syntaxcheck~Grammarly
AIE
end best pacisices) and sher
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https://docs.tesslio/evaluate/evaluating-skills
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AlEngineer
OCR text:
Evals(LLM asJudge)
CLAUDE.md-ContextRules
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Prompt
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AIEngineer
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PublicvsPrivate Registries
SKILLS TE OPEN AGENT SKTLLS ECOGYSTEN Thepackagemanagerfor agentskillsandcontext
AIE Skills arereusable capabiities forAl agents.Install them with a single command to enhance your agents withaccess toprocedural knowledge. Skils.sh-https://sikis.sh TesslRegistry-https:slegstry ros tesl sar
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OCR text:
DependencyManagement
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OCR text:
Contextsecurity scan
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Announcing Entire with $60m seed round
Every commit tells a story.
Now you can read it.
Entire CLI hooks into your git workflow to capture AI agent sessions on every push. Sessions are indexed alongside commits, a searchable record of how code was written.
curl -fsSL https://entire.io/install.sh | bash
Open source • MIT licensed
https://entire.io/
3.6k
Engineering the future of AI
OCR text:
Context from production code
Hud
Understand code behavior with
function level data
Hud gathers errors and performance data at the service and function level. It connects, at runtime, the business impact and the root cause in the code. Engineers use this data in the IDE to understand how their code behaves in reality
https://www.hud.io/
Engineering the future of AI
OCR text:
Agent sandboxing
@ BEERNS LASERS 5 SEARS STENTS
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L2 Resource Limits 6 Privilege Escalation 1 Binary (onjott)
Li Compute Isolation T? Denial of Service Zane bust
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OCR text:
SkillsDevelopment lifecycle
AIE Create CONTEXT EVALS Test Distribute SHARE DELIVER Observe MEASURE& LEARN
AUTHOR LOOP
ORGANIZATION LOOP
AIEngineer
AlEnginoer Braintrust Workos OpenAl
OCR text:
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Slide-Derived Subjects To Review
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