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LocalStack Adds Ability to Visually Debug AWS Apps on Local Machines

LocalStack today announced it has extended its ability to simulate Amazon Web Services (AWS) environments to provide an ability to debug applications before deploying them. Company CEO Colin Neagle said App Inspector makes it possible for developers to debug their applications running in a simulated AWS environment inside a container on a local server. Simulating the full application stack within a local sandbox container makes it possible to better understand application behavior such as data flows between AWS services, event execution paths and resource dependencies that may have been inadvertently misconfigured, noted Neagle. Once discovered, App Inspector then generates a visual representation of the interaction between services in the local environment to make it simpler to debug applications without digging through logs and then needing to upload a fix to a staging server running in the AWS cloud. That capability doesn’t replace the need for an observability platform but i...
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Google CEO Says 75% of New Code is AI-Generated

The era of the “human-only” software engineer is rapidly receding into the rearview mirror. Google CEO Sundar Pichai revealed Wednesday that a whopping 75% of the company’s new code is now generated by artificial intelligence (AI), marking a major shift in how the tech giant builds its products. The velocity of this transition has caught even industry observers off guard. Just 18 months ago, in early 2024, AI-generated code accounted for only a quarter of Google’s output. By late 2025, that figure had climbed to 50%. Today’s 75% milestone signals that AI has moved from a supplemental “autocomplete” tool to the primary engine of production at Google. Pichai noted that the workflow has evolved into something “truly agentic.” Instead of human engineers laboriously writing lines of code or using AI to finish a single sentence, they are now supervising autonomous digital teams. These AI agents can plan, execute, and refactor entire codebases with minimal human intervention. The effic...
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The Vibing Continuum: How Software Will Vibe its Way Through Agentic Engineering 

Did God vibe the universe into existence? My mind served up a strange thought at three in the morning. The sudden idea may have been sparked from an occurrence in the previous evening, when one of our team members spun an entire e-commerce website by merely “vibing ”  with Codex. I tried to shush my mind, but it wouldn’t stay quiet.    God spoke, let there be light and there was light, isn’t that a classic example of spinning the whole universe by sheer vibing? Now for the record, my mind has never contested or undermined the Big Bang theory, but creating the world through mere words feels far less unbelievable when seen through the  vibe coding analogy . The mind prodded further.    Could God have created and then deputed (abandoned?) the world to human agents, eerily similar to how humans have deputed (are deputing) software development to AI agents?    Possible, entirely possible! Now my eyes were wi...
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When AI Goes Really, Really Wrong: How PocketOS Lost All Its Data

You can’t make this crap up. You just wish you could. Jer Crane, founder of the small vertical software company, PocketOS , reported on X that the AI Cursor coding agent and a Railway backup misconfiguration combined to briefly wipe out the company’s car‑rental customer production data . Not some of the data. All of it. That’s a company killer. Fortunately for PocketOS and its customers, Crane later reported that Railway had managed to “recover the data (thank God!).” Thanks to that miracle save of reconstructing the missing data from earlier backups, PocketOS and its customers are back in business. But how could this happen in the first place? According to Crane, it was a chain of failures from both Cursor , the AI development environment, and Railway , his infrastructure provider. Together, they created a “perfect storm” that turned a routine staging bug fix into a company‑threatening outage. In his post, Crane recounted how an autonomous AI coding agent running inside Cursor, ...
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5 Facts About AI Coding Agents from Comprehensive Benchmarking

AI coding agents are becoming more capable, but evaluating them is harder than it looks. Most benchmarks focus on a single dimension of agent capabilities; for instance, the popular SWE-Bench benchmark only focuses on fixing issues on open source Python repositories. Real-world software engineering involves fixing bugs of course, but it is a lot more multifaceted: in any single week a software developer may also debug complex issues, building a new greenfield script or app, improving test coverage, fix bugs on a frontend repo, research unfamiliar APIs – the list goes on. The OpenHands Index addresses this by building a much broader benchmark evaluating language models across five distinct categories: Issue Resolution (fixing bugs), Greenfield development (building new applications), Frontend development (UI tasks requiring visual understanding), Testing (generating tests to reproduce bugs), and Information Gathering (research and documentation tasks). This diversity matters because...
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GitHub Faces Scaling Issues as AI Development Surges

It appears that GitHub has its hands full adjusting to the demands of scaling AI workloads. First, the company paused sign-ups for its Copilot subscription tiers in response to a wave of demand from agentic AI projects. Then it shifted to usage-based pricing to, again, better align revenue with the heavy compute demands of AI projects. Now GitHub is confronting still more infrastructure challenges as it deals with the rapid growth in AI-driven software development. Two recent service disruptions have highlighted the pressure, prompting the company to upgrade its platform for higher capacity and resilience. Tenfold Capacity Boost Is Not Enough GitHub had initially planned for a tenfold increase in capacity beginning in late 2025. Within months, even that ambitious projection proved insufficient. The company is now engineering for a thirtyfold expansion, reflecting both the speed and magnitude of demand tied to AI-assisted development workflows. The urgency, as detailed by GitHu...
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OpenAI Debuts Symphony to Orchestrate Coding Agents at Scale

OpenAI has unveiled Symphony, an open-source specification that shifts how software development teams deploy AI in workflows, moving from interactive coding assistance toward continuous orchestration of autonomous agents. Symphony reframes project management tools as operational hubs for AI-driven coding. Rather than prompting an assistant for individual tasks, developers assign work through issue trackers, allowing agents to execute tasks in parallel and deliver outputs for human review. The change reflects a trend in enterprise AI in which systems are increasingly embedded into production pipelines rather than used as standalone tools. Symphony emerged from internal experimentation at   OpenAI , where engineers attempted to scale the use of   Codex   across multiple concurrent sessions. While the agents proved capable, human operators became the limiting factor. Engineers found they could only manage a handful of sessions before coordination overhead offset pro...
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