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Aug 25

Aug 25Tue
  1. Andrew NgXAI score46

    OpenWorker adds built-in security agents for code, dependencies, and cloud

    AIOpenWorker, an open source agent that completes tasks on a laptop, has released a new version with built-in cybersecurity agents. The agents scan code for vulnerabilities, scan dependencies for supply chain injections, and check cloud security configurations for attack surfaces. Users can run open weight models locally so sensitive code stays on their machine.

  2. Z.ai (GLM) · new models on Hugging FaceOfficialAI score72

    Z.ai releases GLM-5.3 open weights with gains from post-training

    AIZ.ai released GLM-5.3 on Hugging Face, built on the same base model as GLM-5.2, with all gains coming from post-training. The source reports a 50% improvement over GLM-5.2 on Z.ai Code Bench and open-source SOTA on Terminal Bench 3.0 and Agents' Last Exam, with a benchmark table comparing it against Kimi K3, DeepSeek-V4 Pro-0813, Qwen3.8-Max, and others.

    Why it matters: The source gives benchmark tables against GLM-5.2 and rival models, showing where the post-training gains concentrate in coding and cyber tasks.

Aug 24

Aug 24Mon

Aug 21

Aug 21Fri

Aug 20

Aug 20Thu

Aug 19

Aug 19Wed
  1. TinkerOfficialAI score38

    Qwen3.8-27B is now available on Tinker

    AITinker has made Qwen3.8-27B available today. The model is natively multimodal, handling images and video, with flexible thinking control. Tinker says it performs meaningfully better at coding, professional work, research, and long-horizon agentic tasks.

Aug 18

Aug 18Tue
  1. Cursor ChangelogOfficialAI score62

    Cursor adds event subscriptions, custom modes, and subagent VMs for cloud agents

    AICursor's update lets cloud agents subscribe to PRs, Slack threads, and scheduled tasks, and wake when something happens. It also adds custom modes that pin a skill in chat, subagents that run on their own virtual machines, and a /goal command for long-lived objectives. Users can also send steering messages while an agent works, with follow-ups applied at the next tool call.

    Why it matters: The release lists concrete agent controls such as event subscriptions, custom modes, subagent VMs, and /goal, showing how cloud agents may run longer tasks with less manual steering.

  2. Replit BlogOfficialAI score46

    Replit launches Free Mode, letting subscribers build 30x more with Agent for $20 per month

    AIReplit has launched Free Mode, a new way to use its Agent that lets Core subscribers create up to 30x more on their monthly subscription, with everyday tasks no longer consuming credits. Free Mode is powered by OpenAI's GPT-5.6 Luna and is available to Core and Pro users until they reach usage limits that reset every 5 hours. Core subscribers also receive up to 30 hours per month of chat, and the company is offering the plan for $20 per month.

  3. Cursor BlogOfficialAI score68

    Cursor explains Continuity, a WAL-based Git storage system

    AICursor's blog describes Continuity, its Git storage system, which stores each push as a write-ahead log entry in S3-compatible object storage. The article contrasts this design with GitHub's earlier Spokes system, which used three-phase commit replication across local disks. Continuity uses stateless replicas that catch up from the log, and the article reports write throughput of up to 120 pushes/s on S3 Standard and over 300 pushes/s on S3 Express One Zone.

    Why it matters: The article explains why hosting Git at scale is hard and how Continuity's WAL-based design compares with the earlier Spokes approach, which is useful background for infrastructure work.

Aug 17

Aug 17Mon
  1. Z.ai Release NotesOfficialAI score63

    Z.ai releases GLM-5.3 with stronger coding and vulnerability discovery

    AIZ.ai's release notes announce GLM-5.3, which the company says delivers a 50% gain over GLM-5.2 on Z.ai Code Bench and reaches open-source SOTA on public benchmarks including Terminal Bench 3.0. The company also reports that GLM-5.3 matches Mythos 5 in white-box code review and vulnerability discovery, identifying 2,436 vulnerabilities in real-world targets, 1,097 of them medium- or high-severity. A separate GLM-5.3-Flash entry describes native visual capabilities and a hybrid architecture with 320B total and 18B activated parameters.

    Why it matters: The release notes show GLM-5.3's coding and cybersecurity gains, with a vulnerability count, letting readers compare it against Z.ai's prior GLM-5.x line and other coding models.

  2. Replit BlogOfficialAI score60

    Replit adds black-box pen tests that probe apps like external attackers

    AIReplit now offers black-box pen tests that scan deployed apps over the network and browser, with no access to source code. A Level 3 scan runs them alongside the existing white-box code scan, and the source notes the two catch different kinds of flaws.

    Why it matters: The post explains how black-box scans test an app like an outside attacker, showing why source-code review alone misses some exposed doors.

Aug 16

Aug 16Sun
  1. Cursor ChangelogOfficialAI score60

    Cursor launches Origin, a code hosting service with GitHub sync

    AICursor begins rolling out Origin, its code hosting feature, in early beta to all paid plans, excluding enterprise orgs whose admins opt out. Repos can be hosted on Origin, where Origin is the source of truth, or synced from GitHub, where GitHub stays the source of truth and pull requests sync both ways. Vercel, Depot, and Buildkite integrations are already available, and agent-native features are slated to ship soon.

    Why it matters: The source specifies how Origin hosts repos alongside GitHub sync, showing how the hosting source of truth differs between the two types of repo.

Aug 15

Aug 15Sat
  1. Prime Intellect BlogOfficialAI score73

    Prime Intellect tests frontier models on 153 autonomous nanoGPT research runs

    AIPrime Intellect ran 153 autonomous runs on the nanoGPT optimizer speedrun across 18 frontier models, with runs lasting up to eight days on 8xH200s. The results show a large gap between models at every stage of the research process, though none of the runs produced a fundamentally new method.

    Why it matters: The experiment measures how frontier models conduct autonomous research, showing large gaps between models in experiment choice, execution, and result interpretation.

Aug 14

Aug 14Fri
  1. Augment Code BlogOfficialAI score62

    Augment rebuilds its Auggie CLI harness on Pi, cutting SWE-bench Pro task cost 53%

    AIAugment rebuilt the Auggie CLI harness as v2, forking the open-source Pi coding harness and moving its context engine into Pi's extension system. On SWE-bench Pro at the same pass rate, Auggie v2 completes a task for $1.27 versus $2.70 for Claude Code, which is 53% cheaper. The gains come mainly from a narrower tool surface, one bash tool plus read, edit, and write, and from codebase retrieval that reduces exploration turns.

    Why it matters: The post traces the design trade-offs behind each harness choice and ties them to measured token and cost differences, useful for anyone weighing agent tool surfaces.

  2. Andrew NgXAI score38

    Andrew Ng maps the four key skills for AI engineering

    AIAndrew Ng's team released an AI Engineering Skills Map, built from analysis of over 10,000 job postings and expert interviews, identifying four priority skills. The skills are building and deploying AI applications, software engineering fundamentals, using coding agents, and shaping the build. Ng says these skills matter for all developers, not only those with the AI Engineer title.

  3. Michael TruellXAI score75

    Cursor officially joins SpaceX after acquisition closes

    AICursor's acquisition by SpaceX has officially closed, and Cursor will join the SpaceXAI team. The stated goal is to help make Grok the world's most useful AI and to improve Grok Build, Grok Bot, Grok API, Cursor, and more.

    Why it matters: The acquisition closing ties Cursor's coding tools to Grok's product line, which changes how the two products may be developed and sold together.

Aug 13

Aug 13Thu
  1. Google AI DevelopersOfficialAI score47

    Gemini 3.7 Flash generates native apps across five mobile frameworks

    AIGoogle's Gemini 3.7 Flash in Antigravity turns one architecture spec into production-ready code for five mobile frameworks: Flutter, SwiftUI, Jetpack Compose, React Native, and NativeScript. The post presents this as generating native apps without boilerplate from a single specification.

    Video from @googleaidevs's post
  2. Google AI DevelopersOfficialAI score75

    Google releases Gemini 3.7 Flash for coding and agentic tasks

    AIGoogle AI Developers announced Gemini 3.7 Flash as its most intelligent workhorse model yet for coding and agents, citing higher instruction adherence, first-pass code accuracy, and high-quality agentic execution. The post shows the model building a complex 3D web game in Antigravity, covering Three.js engine logic, asset orchestration with PBR textures and Nano Banana sprite sheets, and procedural sound effects.

    Why it matters: The post shows a concrete build workflow across engine logic, assets, and audio, which helps readers judge how the model handles multi-step agentic coding.

    Video from @googleaidevs's post
  3. Demis HassabisXAI score67

    Google releases Gemini 3.7 Flash with coding and web development upgrades

    AIGoogle DeepMind has released Gemini 3.7 Flash, which the post says is stronger for coding, knowledge work, and web development. Its introductory price is half the original cost of Gemini 3.6 Flash.

    Why it matters: The post names concrete upgrade areas and a price change against the prior version, which helps readers compare it with earlier Flash releases.

  4. koray kavukcuogluXAI score72

    Google launches Gemini 3.7 Flash for coding and agentic workflows

    AIGoogle launches Gemini 3.7 Flash, its latest Flash model for coding and agentic workflows, with an introductory price at half the original cost of 3.6 Flash. The post reports gains from 3.5 to 3.7 Flash, including DeepSWE v1.1 rising from 37.0% to 65.3%, Code Arena Elo from 1506 to 1588, and AutomationBench from 13.4% to 30.4%.

    Why it matters: The post pairs a launch with specific before-and-after benchmark gains and an introductory price, letting readers weigh capability against cost for coding and agent work.

    Image from @koraykv's post
  5. DeepSeek API NewsOfficialAI score62

    DeepSeek-V4-Pro Reaches GA with Agent Gains and Peak/Off-Peak API Pricing

    AIDeepSeek has made DeepSeek-V4-Pro generally available on its app, web, and API, with the API model name set to deepseek-v4-pro. The release reports agent benchmark results, including 87.9 on Terminal Bench 2.1 and 74.1 on Toolathlon-Verified. It also adds native OpenAI Responses API support, low/high/max thinking effort levels, and off-peak API prices set at half of peak prices starting 16:00 UTC on August 16, 2026.

    Why it matters: The update pairs new agent benchmark results with API format and pricing changes, so developers can judge both capability and cost impact before migrating.

Aug 12

Aug 12Wed
  1. Factory NewsOfficialAI score40

    Factory Launches Agent Effectiveness to Link Droid Usage to Delivery Outcomes

    AIFactory's Agent Effectiveness, now in Private Preview within Factory Analytics, connects Droid sessions to cycle time, work intent, and shipped artifacts drawn from project, issue-tracking, and source control tools. Its Throughput, Output, and Attribution views show where delivery is speeding up, how spend splits across feature, maintenance, bug-fixing, and exploration work, and which projects and issues the output maps to. Admins enable it by connecting Jira, Linear, GitHub, or GitLab and turning on the Advanced Analytics enterprise control.

  2. Cursor ChangelogOfficialAI score42

    Cursor Cloud Agents Start 3x Faster With Builds

    AICursor's Cloud Agents now start from prebuilt copies of development environments, cutting startup time by 3x, with environments booting 10x faster internally and 3x faster time to first token. Builds are included at no additional cost, and failed builds are not activated, so agents keep using the last successful build while users debug in the background.

Aug 11

Aug 11Tue
  1. Zed BlogOfficialAI score72

    Zed introduces Delta, a multiplayer environment for coding with agents

    AIand reviewing their code, and invites first users into a private beta. Delta keeps code and conversations connected through DeltaDB, which captures edits and conversations between git commits and works with existing repositories. The app also supports cloud runners, browser-based sharing, and live syncing of Claude Code sessions.

    Why it matters: The post explains how the new Delta app links conversations with code history, which clarifies a shift in how teams review agent-written changes.

  2. Z.aiOfficialAI score33

    ZCode reaches 1 million users and resets GLM Coding Plan limits

    AIZ.ai says its ZCode platform has reached 1 million users, and it has reset usage limits for all GLM Coding Plan users as a thank-you. The post also announces an update aimed at turning long-horizon capabilities into completed engineering work, reporting a 98% cache hit rate that provides around 1.8x more usage.

    Video from @Zai_org's post

Aug 7

Aug 7Fri
  1. Qwen · new models on Hugging FaceOfficialAI score88

    Qwen releases open-weight Qwen3.8-2.4T-A95B, a 2.4T-parameter MoE model

    AIQwen has released the Qwen3.8-2.4T-A95B model weights on Hugging Face, with 2.4T total and 95B activated parameters in a mixture-of-experts design. The release supports reasoning_effort levels and a 262,144-token native context extensible to 1,010,000 tokens, and it is text-only with thinking mode always on. The source reports benchmark results against Opus 4.8, Fable 5, GPT 5.6 Sol, and Qwen3.7-Max, and says the official Qwen3.8-Max API adds vision input and a 1M default context.

    Why it matters: The model card gives parameters, architecture, reasoning controls, and benchmark tables against named rival models, showing what an open release of this scale actually offers.

  2. Matei ZahariaXAI score44

    Matei Zaharia says AI Gateways let teams cut token costs centrally

    AIMatei Zaharia argues AI tokens are now a resource to optimize in software engineering, with companies routing all AI usage through an AI Gateway. The approach enables centralized analysis, which found settings on Claude Code and Codex that can substantially lower cost, plus smart routing and per-task budgets for engineers.

Aug 5

Aug 5Wed