#software engineering
Software Engineering: 16 AI articles covering software engineering news, analysis, and research
Articles
Meta AI Unveils Muse Spark 1.3: Agentic Coding Model Cuts Tool Calls by ~20% and Token Usage by ~25% vs. Predecessorβ7
Meta AI launches Muse Spark 1.3 agentic coding model with 20% fewer tool calls and 25% less token usage than 1.2, boosting efficiency for production workflows.
OpenAI Launches Astra: A Powerful, Controversial New AI Modelβ9
OpenAI launches Astra, its most powerful AI model, featuring advanced safety, coding, and cybersecurity β available to paid users September 2025.
Solving the Right Problem in the Age of Agentic AIβ10
A six-step framework for AI projects: defining problems before implementation to ensure teams build the right solution efficiently.
Bug Detection Blind Spots in AI Coding Harnesses: Insights from GStack and Beyondβ8
AI coding agents fix complex bugs but fail on a seemingly simple HTTP retry issue, passing all tests while corrupting user data.
Effective Project Management in the Age of AIβ10
Discover how LLMs reshape project management, shifting engineers from coding to prompt orchestration, testing, and strategic oversight.
Google AI Unveils Gemini 3.7 Flash: Accelerated Coding andβ7
Google launches Gemini 3.7 Flash, an accelerated AI model for coding and agents at $0.75 per million input tokensβhalf the price of its predecessor.
From Coder to Orchestrator: How Agents Are Redefining theβ9
As AI agents evolve from code generators to autonomous collaborators, developers shift into orchestratorsβguiding intelligent systems, reviewing output, and dir...
How to Effectively Deploy Code With Claude Codeβ10
Streamline CI/CD pipelines for multi-agent coding teams. Learn to coordinate, merge, and deploy code efficiently when multiple agents work in parallel.
Meta AI Releases Muse Code (Beta): A Terminal Coding Agentβ7
Meta AI launches Muse Code beta, a terminal coding agent powered by Muse Spark 1.2 for complex, large-scale software engineering with persistent async
How to Debug AI Coding Agents When They Change the Wrong Thingβ10
Learn how to debug AI coding agents when they modify the wrong code, trace changes, verify fixes with evidence, and ensure accurate results.