60 stories tagged with #software-engineering, in publish-time order across the WeSearch catalog. Tag pages update as new stories ingest.
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Xiaomi releases MiMo Code V0.1.0, an open-source AI coding assistant that it says outperforms Claude Code on agentic coding and software engineering benchmarks (Carl Franzen/VentureBeat)
Carl Franzen / VentureBeat : Xiaomi releases MiMo Code V0.1.0, an open-source AI coding assistant that it says outperforms Claude Code on agentic coding and software engineering be…
Tokenomics: Quantifying Where Tokens Are Used in Agentic Software Engineering
LLM-based Multi-Agent (LLM-MA) systems are increasingly applied to automate complex software engineering tasks such as requirements engineering, code generation, and testing. Howev…
Software engineering at the tipping point [video]
Enjoy the videos and music you love, upload original content, and share it all with friends, family, and the world on YouTube.…
Lessons From 9+ Years Building Scalable Real-Time Systems in Production
Lessons From 9+ Years Building Scalable Real-Time Systems in Production Over the past 9+...…
Coding's great reckoning: Inside the months software engineering changed forever
In the space of a few weeks, OpenAI, Anthropic, and Google released new AI models. Now, coders are rethinking their jobs — and what comes next.…
Harness Base Definition: The Control System Outside the Model
Previously, we split Agent into several minimal parts:…
Great Question (YC W21) Is Hiring Applied AI Interns
About Great Question: Great Question is the all-in-one AI customer research platform for understanding your customers. Our platform enables teams to recruit participants, run rese…
Introducing Mellum2: A 12B Mixture-of-Experts Model by JetBrains
A Blog post by JetBrains on Hugging Face…
Domain Expertise Has Always Been the Real Moat
Personal website for Aaron Brethorst - Seattleite, technology leader, photographer, transit enthusiast, erstwhile non-runner.…
The Reputation Layer: Why Developers Quietly Run Corporate PR
When a database falls over at 3 a.m., most engineers assume they are solving a purely technical...…
YouTube Backend: How Database & Data Management Actually Work
If you've ever wondered what happens the moment you hit "upload" on a YouTube video, you're asking...…
Is embedded software engineering to swe a natural switch/transition?
I Passed Every Coding Interview Then Froze on Day One. Here's Why.
My first day at a real software engineering job. I opened the codebase. Twenty thousand lines of...…
AI is changing this job so fast the interview process can't keep up
Now that AI can write code, what makes a good software engineer? That’s the question hiring managers in the tech industry are grappling with.…
The Worst Time to Quit Software Engineering Might Be Right Now
I understand why so many people are questioning software engineering right now. Every week there’s...…
Looking to venture into Software Engineering
How AI Agents Work: An Architectural Deep Dive
The term “AI agent” has become one of the most overloaded in modern tech, but at its core it refers to a simple pattern: a large language model (LLM) connected to...…
08/20: Layer 3 – The Network Layer: IP Addresses & Routing Explained
The Layer That Connects the World The Data Link Layer helps devices communicate within the...…
Does software engineering have good work life balance or is that just a dream?
Are Software Engineering Jobs Decreasing?
VISTA: An End-to-End Benchmark for Visual Spec-to-Web-App Coding Agents
We present VISTA (VIsual Spec-To-App Benchmark), a benchmark for evaluating the end-to-end web-app generation capabilities of LLM-based agents. Unlike prior code generation benchma…
Augment Engineering: A Methodology for Multi-Tool AI Orchestration Across Professional Domains
Organizations increasingly deploy separate purpose-built AI tools across professional domains, often hiring domain specialists for each, recreating the staffing models AI was expec…
Tool-Schema Compression Enables Agentic RAG Under Constrained Context Budgets
Agentic RAG systems that equip language models with dozens to hundreds of tool definitions face a critical resource conflict: tool schemas consume the same context window needed fo…
A Universal Cliff and a Design Fingerprint: Cross-Section Defect Detection Under LLM Orchestration
Production language-model systems answer a request by partitioning it across an invisible orchestration of worker agents that recompose one integrated report. We ask what this does…
RepoMirage: Probing Repository Context Reasoning in Code Agents with Perturbations
Code agents are currently having skillful performance on repository-level software engineering benchmarks, but it remains unclear whether success on end-to-end tasks such as issue …
SetupX: Can LLM Agents Learn from Past Failures in Functionality-Correct Code Repository Setup?
Functionality-correct repository setup aims to configure execution environments (e.g., dependencies, build scripts) to successfully execute a repository's documented features. It p…
Polar: Agentic RL on Any Harness at Scale
Reinforcement learning for language agents increasingly depends on custom harnesses that manage long-running context, multi-turn tool use and multi-agent orchestration. However, po…
Context: Proactive Goal-Directed Intelligence via Composable Sandboxed Programs, Declarative Wiring, and Structured Interaction
We present Context, the intelligence layer of the Magarshak Architecture, which replaces reactive query-response chatbots with proactive goal-directed agents that advance shared ta…
BODHI: Precise OS Kernel Specification Inference
The formal verification of operating system kernels requires precise specifications that capture the intended behavior of system calls. Writing these specifications manually demand…
Operationalizing Reconstructive Authority: Runtime Construction, Dependency Resolution, and Execution Gating in Autonomous Agent Systems
Autonomous agent systems fail not only due to incorrect decisions, but due to executing decisions whose authority no longer holds at runtime. Prior work defined Reconstructive Auth…
LGMT: Logic-Grounded Metamorphic Testing for Evaluating the Reasoning Reliability of LLMs
Large Language Models (LLMs) achieve strong performance on logical reasoning benchmarks, yet their reliability remains uncertain. Existing evaluations rely on static benchmarks, wh…
Beyond Inference-Only Deployment: Comparing Weight-Based Consolidation Against Cascading Compaction
Major LLM platforms deploy models in an inference-only configuration: the model serves requests but never updates per-user weights. Users must repeatedly re-teach preferences, corr…
Inverting the Shield: Systematically Generating Safety Tests from Policy Specifications
The widespread integration of Large Language Models (LLMs) necessitates rigorous and systematic safety evaluation. Existing paradigms either rely on constructed benchmarks to asses…
SWE-agent's 5 Hidden Uses Nobody Told You About 🔥
Princeton researchers just released an open-source AI agent that autonomously fixes GitHub issues —...…
If you've graduated in the past year and gotten a software engineering job without an internship at that company, how did you do it?
The evolution of AI-assisted software engineering paradigms
From the dawn of statistical completion with GitHub Copilot to the Agentic Loop revolution: complete analysis of AI-assisted software development paradigm evolution, through chatbo…
The Coming Coordination Calamity
We cut middle managers across the organization because AI allows us to have more direct reports per manager while still measuring and mentoring our teams effectively. – Matthew Pri…
Unlocking Visibility: Pin GitHub Organization Repos to Your Personal Profile for Enhanced Software Engineering OKRs
The GitHub Pinning Conundrum: Making Org Work Visible on Your Profile Migrating code from...…
Nobody Warns You That Real Software Engineering Feels Chaotic
I used to think good developers were people who wrote perfect code quickly. Now, i think good...…
Vibe Team Software Engineering: What a Real AI Human Dev Team Workflow Actually Looks Like
Most write-ups about AI and software development stop at the prompt. Someone shows you how they got...…
I Used AI to Untangle a Legacy Service I'd Never Touched Before
DART: Semantic Recoverability for Structured Tool Agents
When a structured tool agent fails mid-execution, the runtime faces a dilemma: replaying the entire task is safe but wasteful, while restoring from a local checkpoint is efficient …
Agentic Proving for Program Verification
Agentic systems have recently emerged as state-of-the-art approaches for automated theorem proving in formal mathematics. To assess how far these capabilities extend to program ver…
A measurement substrate for agentic Kubernetes operations: Methodology and a case study in retrieval-compounding falsification
Empirical claims about autonomous Kubernetes operations agents are largely unfalsifiable. Published work reports observational results without controlled comparisons against an age…
Security of LLM-generated Code: A Comparative Analysis
The majority of software developers use or are planning to use Artificial Intelligence (AI) tools in their development processes. Their top reasons include improving productivity a…
Philosophical Dispositions as Behavioral Constraints for AI-Assisted Code Review: An Empirical Study
AI-assisted code review tools typically operate as generic "expert reviewer" agents, producing homogeneous findings regardless of the analysis type needed. We present a system that…
I am a software engineering team director, with a strong background in .NET and C#, and very comfortable working with AI technologies. Considering today’s job market, how screwed am I if I lose my job?
Mcgoats AI-powered game development template
AI-powered game development template with CI/CD, auto-merge queue, TDD enforcement, 3-layer master protection, and 50+ skills for Godot/Unity/Unreal - Totes-MickGOATs/mcgoats-game-…
Postings for software engineering jobs increasing
Q: How are job postings for software engineers rising rapidly despite AI agents automating coding? A: Because there’s far more code to manage than ever before. We’re already seein…
A Language for Describing Agentic LLM Contexts
Large language models are increasingly used within larger systems ("LLM agents"). These make a sequence of LLM calls, each call providing the LLM with a combination of instructions…
How to Write More Blog Posts (2024)
AKA the three laws of mental thermodynamics.…
Constraint Decay: The Fragility of LLM Agents in Back End Code Generation
Large Language Model (LLM) agents demonstrate strong performance in autonomous code generation under loose specifications. However, production-grade software requires strict adhere…
Software Engineering at Google
An open-source collection of core C++ library code…
How AI is redefining Software Engineering
From Coder to Agent Manager: how I stopped writing code by hand after more than a decade of daily practice.…
🚀 Google Antigravity 2.0 Quietly Changes What It Means to Be a Software Engineer
This is a submission for the Google I/O 2026 Writing Challenge Google Antigravity 2.0...…
From Vibe Coding to AI-Assisted Engineering: Lessons from Real Projects
How I improved my AI coding workflow with specs, context, agent skills, frontend references, and memory.…
Characterizing Real-World Bugs in Tile Programs for Automated Bug Detection
Tile-based programming frameworks are increasingly adopted to write high-performance GPU kernels in domains such as deep learning and scientific computing. While these frameworks e…
Software Engineering at the Tipping Point
Don’t miss Google I/O, featuring product launches, innovations, and insights. Tune in for the live keynotes and sessions.…
Why Most Senior Devs Plateau, and What to Do
You did everything right. You got good. You got promoted. And then, quietly, things stopped moving. Here's why that happens to almost every senior developer, and the exact shift th…