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World Congress 2026 North America • Sep 26, 2026 • Session details

ZTA: Zero Token Architecture

Kelsey Hightower

Continuous AI agents burn tokens and break zero trust security. Stop the endless inference loops. Embrace Zero Token Architecture to turn unpredictable AI into reliable, deterministic code.

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#1 about 3 min

Defining AI agents and unnecessary token consumption trends

Understanding the real components of AI agents helps expose the inefficiency of burning tokens for minimal productivity.

#2 about 2 min

Security risks of allowing AI to execute arbitrary code

Allowing AI agents to execute unverified bundle code reverses decades of zero-trust security progress.

#3 about 2 min

Applying traditional automation principles to AI inference loops

Relying on continuous inference loops contradicts fundamental automation practices like caching expensive queries and validating inputs.

#4 about 2 min

Balancing artificial intelligence capabilities with experienced human wisdom

Combining intelligence with lived experience prevents making poor decisions based solely on algorithmic output.

#5 about 5 min

Managing treasury bond portfolios using AI agent automation

Attempting to build an agent for treasury bond updates reveals the limitations of AI when parsing unstructured financial formats.

#6 about 3 min

Navigating edge cases and nuance in financial logic generation

Writing manual logic for bond yields exposes temporal nuances and API discovery issues that AI struggles to resolve reliably.

#7 about 3 min

Replacing continuous AI agents with predictable automated shell scripts

Exporting AI-generated logic into independent shell scripts prevents wasteful token usage while maintaining autonomous task execution.

#8 about 5 min

Proving the financial inefficiency of continuous AI loops

Calculating the execution cost of continuous token loops provides concrete evidence for management to prioritize predictable automated scripts.

#9 about 4 min

Preserving human engineering judgment and customer collaboration practices

Shifting focus away from low-level syntax generation empowers engineers to invest time in reasoning and understanding customer workflows.

#10 about 2 min

Dangers of outsourcing personal and legal decisions to AI

Relying on generative AI for nuanced life decisions or legal judgments undermines necessary human accountability and reasoning.

#11 about 2 min

Mitigating security blind spots from unverified AI code execution

Blindly pasting AI-generated code into environments bypasses established security protocols and creates unpredictable vulnerability vectors.

#12 about 1 min

Evolving engineering leadership strategies in an AI-driven era

Transitioning from optimizing technical output to developing human skills prepares engineering leaders for automated development cycles.

Matching moments

2:02 min

Redefining the software architect role for AI pipelines

Ingo Eichhorst Ingo Eichhorst · World Congress 2026 Europe

2:01 min

Transitioning toward AI-first coding and managing token costs

Clemens Wasner Clemens Wasner +4 · World Congress 2026 Europe

2:34 min

Balancing developer autonomy with the adoption of coding agents

Clemens Wasner Clemens Wasner +4 · World Congress 2026 Europe

2:06 min

Rethinking team structures around AI agent capabilities

Mike Mike · World Congress 2025

4:09 min

Why AI tools will not replace human software developers

Thomas Dohmke Thomas Dohmke · World Congress 2025

3:33 min

Navigating developer bottlenecks and human accountability

Werner Vogels Werner Vogels +1 · World Congress 2026 Europe

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