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Continuous Delivery 2.0
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Continuous Delivery 2.0

Tech and case studies on organizational management, team management, and engineering efficiency

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Recent Articles

Latest from Continuous Delivery 2.0

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Continuous Delivery 2.0
Continuous Delivery 2.0
Jul 2, 2024 · Artificial Intelligence

How Generative AI Tools Are Transforming Software Engineering: Insights from Seattle Tech Leaders

Generative AI tools such as GitHub Copilot, ChatGPT, and Amazon CodeWhisperer are rapidly reshaping software engineering, with surveys showing over 90% of U.S. developers using them, and Seattle tech leaders reporting doubled productivity, faster code migration, and new workflows across startups and enterprises.

AIChatGPTGenerative AI
0 likes · 9 min read
How Generative AI Tools Are Transforming Software Engineering: Insights from Seattle Tech Leaders
Continuous Delivery 2.0
Continuous Delivery 2.0
Jul 2, 2024 · Artificial Intelligence

Dynamic Integrated Developer Activity (DIDACT): Large Sequence Models for Software Development

The article introduces DIDACT, a large‑scale multitask machine‑learning framework that trains on the full software‑development workflow—including edits, builds, reviews, and tool interactions—to create AI assistants that can predict and suggest developer actions throughout the coding process.

AI for Codedeveloper assistancelarge language models
0 likes · 11 min read
Dynamic Integrated Developer Activity (DIDACT): Large Sequence Models for Software Development
Continuous Delivery 2.0
Continuous Delivery 2.0
Jul 1, 2024 · Artificial Intelligence

Language Is Primarily a Tool for Communication, Not Thought: Insights from a Recent Nature Study

A recent Nature paper by MIT and collaborators argues that language serves mainly for communication rather than thought, presenting neuroscientific evidence that reasoning can occur without linguistic processing and sparking debate about the implications for large language models and artificial intelligence.

AILLMcognition
0 likes · 8 min read
Language Is Primarily a Tool for Communication, Not Thought: Insights from a Recent Nature Study
Continuous Delivery 2.0
Continuous Delivery 2.0
Jul 1, 2024 · Artificial Intelligence

How Meta Uses Llama2 to Accelerate Incident Response and Root‑Cause Analysis in AIOps

This article explains how Meta applies AI, specifically a fine‑tuned Llama2 model, to improve AIOps by automating incident monitoring, providing real‑time summaries, assisting responders with contextual information, and efficiently narrowing down root‑cause changes, ultimately reducing incident resolution time from hours to minutes.

AILlama2Meta
0 likes · 13 min read
How Meta Uses Llama2 to Accelerate Incident Response and Root‑Cause Analysis in AIOps
Continuous Delivery 2.0
Continuous Delivery 2.0
Jun 29, 2024 · Artificial Intelligence

AI in Software Engineering at Google: Progress and the Path Ahead

The article describes how Google has integrated AI, particularly large language models, into its internal software development tools to improve developer productivity, outlines the challenges faced, shares lessons learned, and outlines future directions for AI‑driven engineering assistance.

AIGoogleLLM
0 likes · 10 min read
AI in Software Engineering at Google: Progress and the Path Ahead
Continuous Delivery 2.0
Continuous Delivery 2.0
Jun 28, 2024 · Fundamentals

Measuring Engineering Effectiveness: A Four‑Type Theory of Software Quality

The article presents a comprehensive framework for evaluating engineering productivity by separating efficiency (speed and quality) from effectiveness (usability), reviewing academic literature, interviewing Google engineers, and proposing four interrelated types of software quality—process, code, system, and product—along with practical measurement challenges and recommendations for technical leaders.

Engineering Productivitycode qualityprocess improvement
0 likes · 15 min read
Measuring Engineering Effectiveness: A Four‑Type Theory of Software Quality
Continuous Delivery 2.0
Continuous Delivery 2.0
Jun 21, 2024 · Operations

Automated Dead Code Deletion at Scale: Google’s Sesenmann Project

The article explains how Google tackles the costly problem of dead code in its massive monorepo by using the Sesenmann automated deletion system, which leverages build‑system dependency graphs, activity signals, and graph‑analysis algorithms to safely identify and remove unused C++ code while addressing cultural resistance among engineers.

AutomationBuild SystemDead Code
0 likes · 10 min read
Automated Dead Code Deletion at Scale: Google’s Sesenmann Project
Continuous Delivery 2.0
Continuous Delivery 2.0
Jun 20, 2024 · Fundamentals

Guidelines and Standards for Setting Code Coverage Targets in Software Testing

The article reviews typical code‑coverage goals such as 70‑80% for system testing, explains how factors like failure cost, resource constraints, testability, and development stage influence target selection, discusses why full coverage is often impractical, and summarizes major industry standards and coverage metrics used in safety‑critical domains.

code coveragecoverage metricsrisk assessment
0 likes · 8 min read
Guidelines and Standards for Setting Code Coverage Targets in Software Testing
Continuous Delivery 2.0
Continuous Delivery 2.0
Jun 19, 2024 · Artificial Intelligence

Google Smart Paste: AI‑Powered Context‑Aware Adjustments for Pasted Code

Google's Smart Paste uses generative AI to automatically adapt pasted code to its surrounding context, reducing manual edits and improving developer productivity, as demonstrated by extensive internal studies involving tens of thousands of engineers and detailed model training, calibration, and user‑experience evaluations.

AI code assistanceGooglecode editing
0 likes · 9 min read
Google Smart Paste: AI‑Powered Context‑Aware Adjustments for Pasted Code