Software Engineering is the discipline of applying engineering principles and practices to the creation, maintenance, and design of software for a variety of applications. This topic covers a broad range of areas including requirements analysis, software design, programming, project management, testing, and maintenance. It emphasizes systematic, disciplined, and quantifiable approaches to the successful development of high-quality, reliable software systems.
A complete computer science study plan to become a software engineer.
Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.
A collection of learning resources for curious software engineers
An ultra-simplified explanation to design patterns
Summer 2027 software engineering, data science, AI, quant, product management, and hardware internship postings. Updated daily by Simplify and Pitt CSC.
A curated and opinionated list of resources for Chief Technology Officers, with the emphasis on startups
If you want to become good at AI engineering & system design, join this newsletter 👇
A curated list of references for MLOps
Trae Agent is an LLM-based agent for general purpose software engineering tasks.
A comprehensive list of books on Software Architecture.
A curated collection of publicly available resources on how technology and tech-savvy organizations around the world practice Site Reliability Engineering (SRE)
2027 SWE internship & new graduate job list updated daily
Agenticly track ccf-ranked & worldwide conference deadlines (Website, Python Cli, Wechat Applet)
Tips and resources to prepare for Behavioral interviews.
Programming curricula
📚 A curated list of papers for Software Engineers
SWE-bench: Can Language Models Resolve Real-world Github Issues?
A curated list of topics to start learning software engineering
Terminal-style developer runtime blueprint, interactive workspace statistics, and systems diagnostics cataloging the codebase footprint
Kodezi Chronos is a debugging-first language model that achieves state-of-the-art results on SWE-bench Lite (80.33%) and 67% real-world fix accuracy, over six times better than GPT-4. Built with Adaptive Graph-Guided Retrieval and Persistent Debug Memory. Model available Q1 2026 via Kodezi OS.