#Software Engineering
50 articles with this tag
AI Agents as Supply Chain Actors: Patch Pilot's Security Model
Moritz Johner of Form3 discusses the limitations of automated dependency patching tools and the security considerations of using AI agents with production code access, introducing their 'Patch Pilot' system.
Anthropic's Claude Code Creator on AI's Future
Boris Cherny, Head of Claude Code at Anthropic, discusses the evolution of AI models, the future of software engineering, and Anthropic's focus on AI safety.
Bala Ramdoss on Generative UI for Agentic CX
Bala Ramdoss of Amazon discusses generative UI, the critical layer between LLM output and product experience, emphasizing rendering contracts, streaming, and BFF patterns for agentic CX.
AI Agents Need Feature Flags for Safety, Says Engineer
Backend engineer Sachin Gupta argues AI agents need specialized feature flags beyond traditional tools to manage their complex behaviors and mitigate risks.
Google DeepMind VP on AI's Role in Coding's Future
Google DeepMind's Benoit Schillings discusses how AI is reshaping software engineering, from code generation to scientific discovery.
AI's AI Reckoning Hits Software Engineers
Bloomberg Businessweek's Mark Milian discusses how AI is transforming software engineering, shifting roles from coding to AI direction and impacting the talent pipeline.
Addy Osmani: Own Your Verdict in the Age of AI Agents
Addy Osmani, former Google Cloud AI Director, discusses the evolving role of engineers in the age of AI agents, emphasizing judgment, accountability, and ownership.
OpenAI Flags Major Flaws in SWE-Bench Pro
OpenAI's audit reveals approximately 30% of SWE-Bench Pro's coding tasks are flawed, prompting the company to retract its recommendation for the benchmark.
GitHub Fixes Repo Ownership
GitHub implemented a durable ownership system for all active repositories, archiving thousands of unmanaged ones and mandating ownership for new creations.
Octonous Streamlines AI Safety Work
Mozilla.ai's AI Safety Engineer leverages Octonous to automate policy creation, monitor libraries, and aggregate research, boosting efficiency.
Duolingo's Angel Lee on AI Discernment vs. Approval
Angel Ortmann Lee from Duolingo discusses building AI systems for discernment, not approval, and the dangers of automation bias.
SWE-Marathon: Evaluating AI Coding Agents at Scale
Rishi Desai from Abundant AI introduces SWE-Marathon, a benchmark evaluating AI coding agents on billion-token scale tasks, revealing current limitations and the need for robust verification.
Wandero AI's Kalandadze on the 'Missing Layer' Post-Launch
Wandero AI's CTO, Raphael Kalandadze, discusses the critical 'missing layer' of post-launch operations for AI agents, emphasizing the need for continuous monitoring and improvement loops.
Soheil Feizi on Continual Learning for AI Agents
Soheil Feizi of RELAI explains the challenges and principles behind continual learning for AI agents, focusing on replayable, holistic, lifelong, and efficient improvements.
OpenAI's Bug Hunt: 18-Year-Old Flaw Found
OpenAI uncovered two hidden bugs, including an 18-year-old software flaw, by analyzing crash data like an epidemiologist.
Cursor Brings AI Coding to iOS
Cursor's new iOS app allows developers to manage AI coding agents from their phones, enabling development on the go.
Dominik Tornow: The Prompt is the Platform in AI
Dominik Tornow of Resonate argues that AI development is shifting towards prompt engineering, making 'The Prompt is the Platform' a reality by 2026.
Microsoft Experts on Debugging Non-Deterministic AI Agents
Microsoft experts Tisha Chawla and Susheem Koul discuss the challenges of debugging AI agents in production and introduce strategies for ensuring replayability and observability.
Angie Jones on Building Autonomous Engineering Orgs
Angie Jones of Agentic AI Foundation discusses building autonomous engineering organizations, emphasizing AI as a collaborator and the importance of tailored integration.
Agents Building Agents: Nearform's AI Approach
Alfonso Graziano from Nearform explores how AI agents can build and improve other AI agents, detailing the 'Harness Engineering' methodology for reliable AI development.
OpenGov's Gabe De Mesa on Scaling AI Agents in Production
Gabe De Mesa of OpenGov details how the company built and scaled its OG Assist AI agent, highlighting the use of Effect, A2A protocol, sandboxing, and developer velocity tools.
GitHub Copilot Harness Efficiency
GitHub reveals its agentic harness matches model performance with superior token efficiency, supporting over 20 LLMs.
The Dawn of AI Agents: Building the First
Experts discuss the evolution of AI agents, from early experimental tools to indispensable collaborators in software engineering.
Anthropic's Fiona Fung on Building AI-Pilled Engineering Teams
Anthropic's Fiona Fung discusses how AI is transforming engineering teams, emphasizing initiative, growth mindset, and collaboration.
Nextdoor engineers build faster with Codex
Nextdoor engineers are using OpenAI's Codex to accelerate development, enabling end-to-end feature building and faster debugging.
Anthropic Unleashes Claude Fable 5, Mythos 5
Anthropic launches Claude Fable 5 for general use and Mythos 5 for specialized cybersecurity, showcasing advanced capabilities with new safety measures and competitive pricing.
Code2LoRA: Repository Context without Overhead
Code2LoRA generates dynamic LoRA adapters for code LLMs, offering repository context without inference overhead and adapting to evolving codebases.
OpenClaw's Vincent Koc on 'Dark Factories' and AI Speed
Vincent Koc of OpenClaw discusses the rapid acceleration of AI development, comparing it to the industrial revolution and highlighting OpenClaw's efficient "dark factory" approach.
Evaluating Coding Agents: Lessons from SWE-rebench
Ibragim Badertdinov from Nebius shares key lessons from evaluating coding agents using the SWE-rebench benchmark, highlighting the importance of real-world tasks, reliable verification, and cost-effectiveness.
Nvidia's Huang: AI Job Fears Are 'Nonsense'
Nvidia CEO Jensen Huang dismisses AI job loss fears as 'nonsense,' arguing AI actually drives demand for more software engineers.
Can LLMs Generate Enterprise-Quality Code?
Prasenjit Sarkar of Sonar discusses whether LLMs can generate enterprise-quality code, highlighting challenges and Sonar's AC/DC framework for agentic development.
Sakana AI: Finance Agents Take Shape
Sakana AI is deploying AI agents to revolutionize financial operations, with engineers focusing on practical integration and enterprise-grade reliability.
Google DeepMind Explains AI Agent Building Struggles
Philipp Schmid from Google DeepMind explains the core challenges senior engineers face when building AI agents, contrasting traditional engineering with agentic development.
Braintrust Cedes Coding to Codex
Braintrust is dramatically speeding up its development cycle by integrating OpenAI's Codex, turning customer requests into code previews in minutes.
Cursor's RL Infrastructure for Training Composer
Cursor details its distributed infrastructure for training its AI coding model, Composer, using reinforcement learning on 'Fireworks'.
DeepMind's Scale: How Agents Run at Google
Google DeepMind's KP Sawhney and Ian Ballantyne reveal how they run AI agents at scale, discussing the architecture, tools, and challenges involved in managing complex automated tasks.
LinkedIn Engineer Builds Community
LinkedIn engineer Rishika builds community through mentorship and online content, extending her impact beyond her core role.
AI Agents Build Better AI
LinkedIn Engineering details how AI agents are revolutionizing model development through automated, iterative refinement loops.
LinkedIn Unifies Hiring Data
LinkedIn's new unified integrations platform standardizes hiring data, slashing onboarding times and powering AI recruitment tools.
Lawrence Jones on Fighting AI with AI
Lawrence Jones of incident.io discusses how AI can be used to debug and manage complex AI systems, highlighting the importance of structured data and automated analysis pipelines.
Viverra: Verifying AI-Generated Code
Viverra tackles the trust deficit in AI-generated code by automatically producing formally verified annotations, enhancing developer comprehension and productivity.
Mike Spitz on Post-Engineer Engineering Org
Mike Spitz discusses how AI agents are transforming engineering by boosting productivity and changing workflows, advocating for a phased approach to adoption.
Sea Bets Big on AI Coding with OpenAI Codex
Sea Limited is deploying OpenAI Codex across its developer organization, aiming to transform software development in Southeast Asia through AI-native workflows and agentic collaboration.
LLMs Tame Software Requirements
VERIMED leverages LLMs and SMT solvers to formally audit natural-language software requirements, turning ambiguity into testable signals and boosting verified accuracy.
Beyond Model Capability: The Harness for SE Agents
Autonomous software engineering agents' reliability hinges on a novel 'AI Harness' system, not just model capability, enabling verifiably correct changes.
Building an AI Chess Coach: Take Take Take
Anant Dole and Asbjorn Steinskog discuss building an AI chess coach, the limitations of LLMs in chess, and their eval framework.
Sakana AI's Defense Push
Sakana AI is building AI for defense, with engineers developing critical command and control systems for national security.
Matt Pocock: Engineering Fundamentals Still Crucial in AI
Matt Pocock, author of 'AI Hero', emphasizes that engineering fundamentals are more crucial than ever for building robust AI systems.
Coding Agents' Stealth Vulnerabilities Unmasked
New benchmark MOSAIC-Bench reveals production coding agents can be tricked into shipping exploitable code via sequenced, innocuous tasks, bypassing current safety reviews.
Cursor's AI Agents Get Worktree Boost
David Gomes of Cursor detailed the integration of Git worktrees into AI agents, enabling isolated task execution and reducing code complexity.