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Topics

Development

Featured in Development

Accelerating Performance by Incrementally Integrating Rust into Existing Codebase

Lily Mara explains how to avoid high-risk software rewrites through incremental FFI refactoring. She shares how engineering teams can replace Python bottlenecks with Rust via PyO3, demonstrating how to achieve dramatic function-level speedups, seamless integration testing, and meaningful infrastructure cost savings without microservice overhead.

All in development

Architecture & Design

Featured in Architecture & Design

Panel: Who Builds the Frontend Now? (And What Breaks When They Do)

The panelists explain how AI tools and vibe coding reshape frontend and mobile engineering. They share insights on evolving junior developer roles, managing AI-generated code review fatigue, designing systems for autonomous agents, enforcing architectural guardrails, and navigating economic shifts in open-source software sustainability.

All in architecture-design

AI Infrastructure

Featured in AI, ML & Data Engineering

Beyond the Harness: Canvas for AI Agents

Nimisha Asthagiri shares how applying proven product engineering and architecture principles creates a bounded canvas for AI agents. She explains how this model provides agents with bounded autonomy, continuous drift detection, and decision records to scale software development resiliently.

All in ai-ml-data-eng

Culture & Methods

Featured in Culture & Methods

The Ladder is Missing Rungs: Engineering Progression When AI Ate the Middle

Alasdair Allan discusses empirical research from METR and Anthropic on AI coding adoption. He explains the "supervision paradox," where reliance on AI tools disrupts junior skill development, risks institutional context loss, and threatens the long-term engineering pipeline needed to oversee autonomous systems effectively.

All in culture-methods

DevOps

Featured in DevOps

Wrangling Telemetry at Scale: a Guide to Self-Hosted Observability

Colin Douch shares battle-tested strategies for building and scaling self-hosted observability stacks. He explains how to effectively correlate metrics, structured logs, and distributed traces using open-source tooling like Prometheus, VictoriaMetrics, and Jaeger, while navigating the engineering trade-offs of avoiding SaaS vendor lock-in.

All in devops

Events

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AI Engineering Certification

Work through your production AI decisions with senior engineers from other companies. Apply their perspectives to challenges from your own work.
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AI Engineering Certification

Building RAG pipelines or AI agents? Work through retrieval, context, evals, and reliability decisions with experienced practitioners.
Online. Register Now.

High-Performing Teams Certification

Compare team design, delivery flow, AI roles, and metrics with experienced practitioners.
Online. Register Now.

Architect Certification

Distributed systems, decentralized decisions, platform engineering, and AI architecture.
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QCon San Francisco

What's working across AI, architecture, and leadership, from the teams doing it.
Register. Early bird ends Nov 10.

QCon AI New York

Production AI across agents, context, evals, security, and infrastructure, from the senior engineers building it.
Register. Early bird ends Nov 10.

QCon London

What early-adopter teams have proven in production, across 15 engineering tracks.
Register. Early bird ends Nov 10.

QCon AI Boston

Learn from the decisions and trade-offs behind AI systems already running in production.
Registration open.

InfoQ Homepage Interviews Dajo Breddels On Provocative Coaching

Dajo Breddels On Provocative Coaching

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21:25

Bio

Dajo Breddels

About the conference

Every day, Agile practitioners and thought leaders are defining and refining new and existing practices that bring Agile’s values and principles to our world of work, play and service. Agile2014 reinforces our understanding of proven methods and illuminates some of the exciting new innovations that represent the future of Agile.

Nov 23, 2014

Interview with

Dajo Breddels

by

Todd Charron

BT