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Development

Featured in Development

Expanding Swift from Apps to Services

Cory Benfield discusses the evolution of Swift from an app language to a critical tool for secure, high-scale services. He explains how Swift’s lack of a garbage collector eliminates tail latency and shares how its "zero-cost abstractions" rival C performance. He shares Apple’s roadmap for incremental adoption and demonstrates groundbreaking new interoperability for C++ and Java ecosystems.

All in development

Architecture & Design

Featured in Architecture & Design

You’ve Generated Your MVP Using AI. What Does That Mean for Your Software Architecture?

AI‑generated code creates implicit architectural decisions, forcing teams to rely on experimentation to validate quality attributes. To get useful results from AI, teams must clearly express trade‑offs and reasoning so the model can generate solutions aligned with desired QARs.

All in architecture-design

AI Infrastructure

Featured in AI, ML & Data Engineering

From Prompts to Production: A Playbook for Agentic Development

In this article, author Abhishek Goswami shares a practitioner's playbook with development practices, that describes building agentic AI applications and scaling them in production. He also presents core architecture patterns for agentic application development.

All in ai-ml-data-eng

Culture & Methods

Featured in Culture & Methods

Scaling to 100+ as a Director: Lessons From Growing Engineering Organizations

Thiago Ghisi explains the structural shifts required as an engineering org scales from 30 to 100+ engineers. He shares how to transition from managing performance to building opinionated leadership teams and shaping long-term culture. He discusses his "Three Levels of Impact" framework - Org, Skip-Level, and Company - to help leaders drive strategy and secure high-level promotions.

All in culture-methods

DevOps

Featured in DevOps

From Alert Fatigue to Agent-Assisted Intelligent Observability

As systems grow, observability becomes harder to maintain and incidents harder to diagnose. Agentic observability layers AI on existing tools, starting in read-only mode to detect anomalies and summarize issues. Over time, agents add context, correlate signals, and automate low-risk tasks. This approach frees engineers to focus on analysis and judgment.

All in devops

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Early Bird ends March 10.

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Building Scalable Products that Customers Love

Per Jonsson discusses Lean Startup in the context of real world examples, and helpful tools for startups - Feedback Loop, Customer Development and the Lean Canvas.

Per Jonsson
on Oct 12, 2012

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31:21
Innovation: What Every Developer Absolutely Needs to Know

Steve Vinoski discusses innovation and product life cycles, how they affects the market and someone’s products, and what one should know in order to succeed in a very competitive landscape.

Steve Vinoski
on Sep 25, 2012

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49:52
Lean Startup: Why It Rocks Far More Than Agile Development

Joshua Kerievsky discusses Lean Startup -a disciplined, scientific and capital efficient method for discovering and building products and services that people love-, comparing it with Agile.

Joshua Kerievsky
on Apr 13, 2012

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01:02:36

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Topics

Expanding Swift from Apps to Services

You’ve Generated Your MVP Using AI. What Does That Mean for Your Software Architecture?

From Prompts to Production: A Playbook for Agentic Development

Scaling to 100+ as a Director: Lessons From Growing Engineering Organizations

From Alert Fatigue to Agent-Assisted Intelligent Observability

Helpful links

Choose your language

Presentations

Building Scalable Products that Customers Love

Innovation: What Every Developer Absolutely Needs to Know

Lean Startup: Why It Rocks Far More Than Agile Development

WhatsApp Deploys Rust-Based Media Parser to Block Malware on 3 Billion Devices

GitHub Copilot SDK Lets Developers Integrate Copilot CLI's Engine into Apps

How CNAME Ordering in RFC Specs Caused Cloudflare 1.1.1.1 Outage

You’ve Generated Your MVP Using AI. What Does That Mean for Your Software Architecture?

[Video Podcast] The Craft of Software Architecture in the Age of AI Tools

Uber Moves In-House Search Indexing to Pull-Based Ingestion in OpenSearch

Creating Impactful Teams through Diversity Using Session 0

Scaling to 100+ as a Director: Lessons From Growing Engineering Organizations

Getting Feedback from Test-Driven Development and Testing in Production

From Prompts to Production: A Playbook for Agentic Development

Pandas 3.0 Introduces Default String Dtype and Copy-on-Write Semantics

QCon Previews 20th Anniversary Conferences: Production AI, Resilience, and Staff+ Engineering

Kubernetes Drives AI Expansion as Cultural Shift Becomes Critical

BellSoft Survey Finds Container Security Practices Are Undermining Developers’ Own Goals

Datadog Integrates Google Agent Development Kit into LLM Observability Tools

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