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World Congress 2026 Europe • Jul 10, 2026 • Session details

Stop Parsing Strings: Treating LLMs Like Type-Safe Microservices

André Behrens

Are you still writing brittle string parsers for AI outputs? Stop prompt engineering and start schema engineering by treating LLMs as strongly-typed microservices with strict data contracts.

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#1 about 7 min

Challenges in parsing unstructured language model string responses

Relying on raw text outputs leads to broken integrations when models append hallucinated context or conversational filler.

#2 about 3 min

Shifting from prompt engineering to schema-driven validation architectures

Defining data schemas upfront shifts validation to the beginning of the process instead of reacting to downstream failures.

#3 about 3 min

Defining explicit data contracts for specific application domains

Utilizing typed objects provides integrated autocompletion in code editors and ensures safety boundaries for automated deployment pipelines.

#4 about 2 min

Implementing constrained decoding and supported tool calling mechanisms

Supplying target schemas directly to compatible capabilities reduces token horizons and forces native structural alignment.

#5 about 3 min

Building self-healing agent workflows with continuous validation retries

Wrapping model execution within agents allows out-of-bounds results to autonomously trigger contextual prompts for self-correction operations.

#6 about 6 min

Demonstrating programmatic fallbacks within local model validation loops

A live execution shows how invalid numbers generated by local weights get corrected through bounded context handling.

#7 about 4 min

Analyzing the latency tax inherent in structured generation

Enforcing strict schema alignment increases execution time due to larger pre-filled contexts and programmatic validation cycles.

#8 about 2 min

Preventing reasoning lobotomy by separating thought from aggregation

Allowing models to evaluate complex context prior to formatting prevents structural requirements from diminishing inherent intellectual capabilities.

#9 about 6 min

Balancing strict application boundaries with resilient execution architectures

Utilizing safety refusal objects and progressive verification strategies ensures robust failovers for highly integrated software deployments.

Matching moments

4:29 min

Designing AI applications defensively for inevitable failures

Krzysztof Cieślak Krzysztof Cieślak · WWC Europe 2026

2:06 min

Rethinking team structures around AI agent capabilities

Mike Mike · WWC 2025

4:25 min

Overcoming AI hallucinations and restrictive content guardrails

Perf + AI

11:18 min

Addressing audience questions on security and microservice architectures

Reinhard Kugler · LIVE

10:17 min

Discussion on AI hallucinations and practical developer workflows

Akmal Chaudhri Akmal Chaudhri · LIVE

2:54 min

Designing complex software architecture in the era of AI

Chris Heilmann +2 · LIVE

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