18:00
Arrival & Welcome
Arrival, welcome, and opening of the evening.
Reserve a Seat

From writing code to directing execution
From writing code to directing execution
How engineering is shifting from manual implementation toward defining intent, constraints, and workflows that AI can execute across real systems - including autonomous actions, event-driven flows, and new delivery models.
How engineering is shifting from manual implementation toward defining intent, constraints, and workflows that AI can execute across real systems - including autonomous actions, event-driven flows, and new delivery models.

Designing environments where AI can truly operate
How systems can be built so AI works effectively on private repositories, internal frameworks, and codebases it was never trained on - including the architectural thinking behind ROA, our public end-to-end automation framework designed for autonomous AI use.

Pushing AI toward production-level engineering
How integrated systems can be designed to optimize AI performance - using self-evaluation, repository-aware skills, and parallel multi-agent workflows to move from generic output toward production-ready code that can rival senior engineering work.

Local models, fine-tuning, and keeping quality
How local LLMs, fine-tuning pipelines, and continuous quality measurement can reduce cost and improve speed - while keeping the level of output aligned with real engineering standards.

Designing environments where AI can truly operate
How systems can be built so AI works effectively on private repositories, internal frameworks, and codebases it was never trained on - including the architectural thinking behind ROA, our public end-to-end automation framework designed for autonomous AI use.

Pushing AI toward production-level engineering
How integrated systems can be designed to optimize AI performance - using self-evaluation, repository-aware skills, and parallel multi-agent workflows to move from generic output toward production-ready code that can rival senior engineering work.

Local models, fine-tuning, and keeping quality
How local LLMs, fine-tuning pipelines, and continuous quality measurement can reduce cost and improve speed - while keeping the level of output aligned with real engineering standards.
18:00
Arrival, welcome, and opening of the evening.
18:20
A brief introduction to the community, our vision, and why we are focused on AI as a serious engineering discipline rather than a passing trend.
18:30
A practical look at ROA, our end-to-end automation framework designed for AI and human collaboration - including how to structure frameworks and workflows so AI can work reliably inside real engineering systems.
19:00
A deeper look at Pandora, our set of systems and integrations for improving how agentic coding platforms perform on real codebases - from better context and control to self-evaluation, optimization, parallel agents, local models, and fine-tuning.
19:50
Questions, shared perspectives, and discussion around the future of engineering and AI.
20:10
A more relaxed setting for conversation, connection, and exchange of ideas.
18:00
Arrival, welcome, and opening of the evening.
18:20
A brief introduction to the community, our vision, and why we are focused on AI as a serious engineering discipline rather than a passing trend.
18:30
A practical look at ROA, our end-to-end automation framework designed for AI and human collaboration - including how to structure frameworks and workflows so AI can work reliably inside real engineering systems.
19:00
A deeper look at Pandora, our set of systems and integrations for improving how agentic coding platforms perform on real codebases - from better context and control to self-evaluation, optimization, parallel agents, local models, and fine-tuning.
19:50
Questions, shared perspectives, and discussion around the future of engineering and AI.
20:10
A more relaxed setting for conversation, connection, and exchange of ideas.