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AI Futures, the research group behind the AI Futures Model, updated its AI timelines forecasts, slightly shortening them and expressing increased confidence due to improved modeling and evidence. The group now incorporat…
Z.ai, the Beijing artificial-intelligence developer co-founded by Zhang Peng, Tang Jie and Liu Debing, published an August 14 research post presenting GLM-5.3 as a post-training update for coding agents and vulnerability…
Human comprehension is an inherent architectural characteristic that must be actively maintained, as a system that is not understood cannot evolve safely, according to an article by participants of the online InfoQ Certi…
Quotient co-founder and CEO Lizzie Matusov presented a framework identifying five stages of AI maturity in engineering organizations, arguing that teams get stuck when individual AI usage fails to translate into organiza…
Alibaba released Qwen 3.8 Max, a 2.4 trillion parameter open-weight AI model with 95 billion active parameters, set to become the largest open-weight model once weights are open-sourced about a week after announcement. T…
At a YC Paper Club event in Mountain View, five researchers presented on performance optimization in AI, covering multi-GPU kernels, intelligence per watt, AI-written systems code, heterogeneous inference, and GPU-based …
AI-assisted development is causing developer burnout due to cognitive mode switching, according to an analysis of human-computer interaction (HCI) psychology. The article identifies three cognitive modes in software deve…
JetBrains released GoLand 2026.2, introducing a new Go Optimization tool window that unifies profiling, escape analysis, and struct optimization for Go applications. The update adds pprof profiling for regular Go applica…
Parker Conrad, former co-founder and CTO of Rippling, argues in the Vorflux Manifesto that AI models have become superhuman at programming, with frontier models like Claude Opus 4.8 scoring 88.2% on SWE-bench Verified an…
Los Touré and Marc Mueller, two software engineers behind the startup Danger Testing, have released more than 50 apps since April 2025 by using AI-powered 'vibe coding' tools, aiming to become 'appstars' who treat app de…
Developer Eli Bendersky reports that using LLM agents to build a new Go project from scratch, watgo, was a productivity gain but required extensive human review and refactoring, contrary to hype about full automation. Be…
Engineers are shifting focus from model selection to harness engineering—the design of prompts, tools, and scaffolding around AI models—after observing that a decent model with a great harness outperforms a great model w…
A new software development methodology called Lean Software Production combines lean manufacturing principles, Extreme Programming, and AI agentic orchestration to manage code generation at scale. The approach emphasizes…
Dibi8 launched an open-source AI tools directory supporting four languages, featuring curated and ranked lists of AI coding agents, LLM frameworks, and developer utilities. The platform includes trending repositories lik…
A developer created Causari, a local CLI tool that records AI agent actions as causal events to track intent and provenance behind code changes. Unlike Git, which tracks what changed, Causari answers why an AI agent made…
The FTC has begun fining companies for deceptive AI claims, including a 'robot lawyer' never trained on legal materials. Security engineers warn that many vendors are 'AI-washing' old products with new labels, and propos…
Anthropic released Claude Sonnet 5, a mid-tier AI model that excels at writing code and handling complex tasks through deeper reasoning and self-improvement, but catches fewer bugs than earlier models and costs slightly …
Augment launched Cosmos, a unified cloud agents platform for AI-native engineering teams, addressing the coordination and trust challenges that arise when multiple agents generate code across a team. The tool aims to rep…
AI-generated code is increasing production failure rates and recovery times, according to industry evidence. To manage this risk, businesses must track metrics like change failure rate and mean time to recovery to distin…
Logslim, an open-source CLI and GitHub Action, reduces test and build log output by 80-95% for AI agents and human reviewers, compacting noisy CI logs into structured failure summaries with fix hints. The tool, available…