6 posts about future of software development by 4 contributors.
Know future of software development? Share what you know with developers who are learning it.
Andrew Ng’s AI engineering skills map identifies essential capabilities for working with coding agents. Software architect Mahesh Chand expands the map to include customer understanding, product judgment, workflow validation, feature prioritization, scalability, security, and responsible AI autonomy.
Explore the future of AI-assisted programming, including coding agents, multi-agent workflows, AI testing, agentic DevOps, and trends shaping software development.
Learn how to build autonomous coding workflows using AI development agents for planning, coding, testing, reviewing, and software delivery automation.
Learn the AI strategy developers and enterprises need for 2026 by building software systems that AI agents can understand and use. This session explores AI-native architecture, APIs for AI agents, agentic workflows, automation readiness, software interoperability, and the future of AI-driven application development.
Explore how AI co-developers are transforming the future of programming and software development. In this session, Amer Sheeny explains AI-assisted coding, developer productivity, intelligent programming workflows, and the evolving role of AI in modern software engineering.
By 2030, over 1 billion developers are expected to use AI tools like Copilot, ChatGPT, and autonomous agents. Here’s why AI will become essential for software development, startups, and global innovation.
DevSocialUpcoming · 3rd editionAI Agents ConferenceNov 23–27, 2026Live onlineMembers only17days leftRegisterPublish an article in this category and earn +1,000 SHARP when it is approved.
Write an article