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Development

Featured in Development

From MCP and Vibe Coding to Harness Engineering: How AI Native Engineering Evolved in One Year

Birgitta Böckeler, Distinguished Engineer at Thoughtworks, returns to discuss the rapid evolution of AI in software delivery. She touches on the evolution from vibe coding, the changing tools landscape and the more autonomous agents that, besides higher velocity, introduce higher risk.

All in development

Architecture & Design

Featured in Architecture & Design

Increasing Users' Data Agency: From BlueSky's AT Protocol to the Local-First Software Movement

Martin Kleppmann, an associate professor at Cambridge and author of Designing Data-Intensive Applications, discusses the evolution of data systems over the last decade, mainly the shift from monolithic databases to modular building blocks. Kleppmann underlines the importance of moving from cloud-centric data storage systems to decentralised data storage similar to Bluesky’s AT protocol.

All in architecture-design

AI Infrastructure

Featured in AI, ML & Data Engineering

Write-Ahead Intent Log: A Foundation for Efficient CDC at Scale

Vinay Chella and Akshat Goel discuss the challenges of running traditional CDC across heterogeneous databases during peak order traffic. They explain how Debezium hit limits under high load and share how they built Write-Ahead Intent Log (WAIL) - a custom architecture that utilizes a dumb producer proxy and a smart consumer pattern to cleanly separate the intent from the state payload.

All in ai-ml-data-eng

Culture & Methods

Featured in Culture & Methods

Craig McLuckie on Culture as a Team's Operating System in the AI Era

In this podcast, Shane Hastie, Lead Editor for Culture & Methods spoke to Craig McLuckie, co-creator of Kubernetes and CEO of Stacklok, about the impact of AI coding tools on open source communities and engineering teams, designing deliberate organisational culture, and navigating evolving career paths for engineers in the age of AI.

All in culture-methods

DevOps

Featured in DevOps

Confidently Automating Changes across a Diverse Fleet

Netflix engineer Casey Bleifer shares how to achieve rapid, automated code changes across a massive, diverse software fleet. She discusses building an event-driven orchestration platform using composable, Lego-like steps, and explains how Netflix utilizes automated canary validation, compliance checks, and a custom "confidence metric" to eliminate the long tail of manual engineering migrations.

All in devops

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Architecture & Design

Inside Claude Code Auto Mode: Anthropic’s Autonomous Coding System with Human Approval Gates

Anthropic has introduced auto mode in Claude Code, enabling multi-step software development workflows with reduced manual intervention. The feature combines automated execution with layered safety mechanisms, including input filtering, action evaluation, and two-stage classification, while maintaining human approval checkpoints for sensitive operations.

Leela Kumili
on May 05, 2026
Architecture & Design

Anthropic Designs Three-Agent Harness Supports Long-Running Full-Stack AI Development

Anthropic introduces a three-agent harness separating planning, generation, and evaluation to improve long-running autonomous AI workflows for frontend and full-stack development. Industry commentary highlights structured approaches, iterative evaluation, and practical methods to maintain coherence and quality over multi-hour AI coding sessions.

Leela Kumili
on Apr 04, 2026
Architecture & Design

Stripe Engineers Deploy Minions, Autonomous Agents Producing Thousands of Pull Requests Weekly

Stripe engineers describe Minions, autonomous coding agents generating over 1,300 pull requests per week. Tasks can originate from Slack, bug reports, or feature requests. Using LLMs, blueprints, and CI/CD pipelines, Minions produce production-ready changes while maintaining reliability and human review.

Leela Kumili
on Mar 20, 2026

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