#Coding

AIJetBrains has opened the Early Access Program for Air, an agentic development experience available as a plugin on JetBrains Marketplace or in the 2026.3 EAP builds of its IDEs. Air works with existing agents such as Codex, GitHub Copilot, Junie, and Cursor, and it ships with no agents installed. Free Junie Lite runs are offered, while cloud runs require a JetBrains AI subscription.

Why it matters: The post explains how Air brings existing agents into the IDE, showing a concrete workflow for managing parallel agent sessions alongside code review tools.

AIBarclays is expanding its collaboration with Anthropic to roll Claude out across its global operations, with Claude Code expected to reach 50% of its developer population by the end of 2026. Its Colleague Knowledge Assistant, powered by Claude through retrieval-augmented generation, has been used by more than 16,000 colleagues and handled over one million searches. In Global Markets, Claude models classify and route roughly 120,000 client emails daily.

AIManus has launched Game Dev in Manus 2.0, a feature that lets users with no coding experience build games with a real-time tweak panel, asset management, and multiplayer servers. The tweak panel lets users adjust settings such as speed, gravity, damage, and spawn rate while playing. Manus also handles much of the multiplayer infrastructure, including server deployment and networking, so games can be shared and played with friends.

AIHamel Husain has published a longer review of a new Claude Auto Eval plugin after many users asked about it. He invites readers to share their experiences using the plugin and how it went for them. The plugin is part of Claude's ability to help build evaluations and hillclimb on them, as described by @ClaudeDevs.

AIGoogle has announced Gemini 4 Argon, initially available only to trusted cyber defenders through its Fairwind Program while US government approval is pending. The author says the model is aimed at long-running software engineering, enterprise knowledge work, and cybersecurity tasks, with a 1 million token output limit. The post also gives promotional pricing of $2 per million input tokens and $10 per million output tokens, rising to $4 and $20 afterward, alongside a benchmark comparison.

Why it matters: The post places Gemini 4 Argon's benchmark table beside GPT-6 Astra and Claude models, showing where each leads across coding, knowledge work, and cybersecurity tasks.

AIVarun Mohan says Gemini 4 Argon is doing well on the AA Coding Agent Index when run with the Antigravity harness. He notes that real-world usage matters more than benchmarks and promises more to come.

AIUnder equal time budgets and the same frontier LLM backbone, a single session of a minimal-harness coding agent with read, write, and bash primitives matched open-source state-of-the-art autonomous machine learning engineering harnesses. Apple researchers found the added orchestration and retrieval machinery redundant in large-scale ablation studies, pointing to the backbone model as the main driver of performance. They conclude that hand-crafted harnesses around strong models yield poor returns on current MLE benchmarks.

AIGoogle is sharing Gemini 4 Argon first with trusted defenders in its Fairwind Program, with frontier capabilities in coding, knowledge work, and cyber security defense. The model is also being rolled out to the US government, and the company plans broader availability as testing progresses and safeguards allow.

AIGoogle announced Gemini 4 Argon, a new frontier model that delivers frontier performance across complex software tasks, according to Varun Mohan. Thousands of Googlers have been using it internally in Antigravity, and it is rolling out first to trusted cyber defenders in the Fairwind Program, with broader availability to follow as soon as possible.

AIGoogle AI announced Gemini 4 Argon, a new frontier model built for deep reasoning across long, complex workflows in software engineering, legal and finance knowledge work, and cybersecurity defense. Google says it is expanding the model's output token limit to 1M tokens. Argon is rolling out first to trusted cyber defenders in the Fairwind Program, with broader availability to follow as soon as possible.

Why it matters: The benchmark table compares Gemini 4 Argon against GPT-6 Astra and Claude models across knowledge work, coding, and multimodal tasks, showing where it leads and trails.

AIGoogle DeepMind announced Gemini 4 Argon, rolling out first to trusted cyber defenders through its Fairwind Program. Argon will launch at an introductory price of $2 per million input tokens and $10 per million output tokens, with output limits raised to 1M tokens. The post cites a 77.9% score on DeepSWE v1.1 and 91.7% on LVBench, and says broad availability will follow safeguard testing.

Why it matters: The post pairs Argon's benchmark claims with the phased release, pricing, and safeguard details, helping readers weigh its frontier-level capabilities against its access limits.

AIMicrosoft's new Copilot brings Home, Code, and Autopilot together in one place for creating custom apps, building decks, automating workflows, and resuming work. Users can start using the Copilot app now and try new features as they become available in Frontier.

AIGoogle announced Gemini 4 Argon, a new frontier model rolling out first to trusted cyber defenders through its Fairwind Program. The model's output limit rises to 1M tokens from 64K, and its introductory API price is $2 per million input tokens and $10 per million output tokens. Google says broader availability to developers, enterprises, and consumers will follow after more testing of guardrails.

Why it matters: The post pairs benchmark claims with a phased access plan, pricing, and safety measures, which helps readers judge how quickly Argon may reach developers.

AIHugging Face's Merve Noyan announced ml-intern, an open-source harness for ML engineering and research that she says is better than a coding agent. It is available to try in Hugging Face Chat.

AICursor's Eric Zakariasson announced engineering bots available in the Grok bot marketplace on x.ai. The bots can hand off coding tasks to Cursor, manage pull requests through GitHub and Origin plugins, and share video demos of what they build.

AIFireworks AI has made GLM 5.3 Flash available for training through its Serverless Training API, open to all users. The model supports both vision and text inputs. Fireworks says it performs well on its benchmarks for agentic coding, document analysis, and tool use while remaining cost-efficient to serve.

AICursor's Eric Zakariasson shared a game-builder skill he has been using to build games with new models. The skill can be installed with the command npx skills add ericzakariasson/skills --skill game-builder.

AIProject HydraFusion is now available in the GitHub Copilot app and VS Code, where users can select it like any other model. Behind the scenes, it routes a task across multiple models to draft, critique, revise, or escalate, then returns one combined result.

AICognition posted a link to a customer story about how Crosby Legal uses Devin, showing the approach the firm took. The post itself gives no further details on the results, workflow, or figures.

AIAnt Ling can convert plain-language prompts into standalone, interactive Three.js pages covering topics such as an internal combustion engine, an optical-disc reader, paramecium organelles, and vector-field divergence. The output is runnable code rather than just an explanation.

AIAnt Ling reports that its Ling-3.1-flash model completed a roughly 20-hour Rust port of a C image library. After a performance regression caused by busy-waiting workers and a parallelism adjustment, the model recovered and reached an 8.015× speedup. All 30 correctness checks passed.

AILing-3.1-flash achieved a 1.432x speedup on Pyright 1.1.400 while passing all 2,279 checks. The chart shows Claude Fable 5 at 1.502x and GLM-5.3-Flash at 1.290x, a close result on a real codebase with correctness intact.

AILing-3.1-flash built a Lua-to-x86-64 ELF compiler from scratch in about 17 hours, passing 178 of 182 tests for 97.8%. That is within 1.2 percentage points of the 99.0% shown for Claude Fable 5 and above GLM-5.3-Flash at 95.9%.

AILing-3.1-flash ranks #2 in the Mobile App (react native) category on Design Arena's Open Weights leaderboard, with 1,207 Elo. It also ranks #4 in SVG with 1,271 Elo among models added in the last 30 days.

AIGemini can build custom skills from chats and apply a saved skill automatically when a prompt matches it. Multiple skills can be stacked for larger tasks, such as combining a personal writing style skill with a brand guidelines skill. Starting today, skills can include reference files such as plain text documents, PDFs, or images, with sharing and Google Drive file support coming soon.

AIThe author, whose earlier device was flagged so the account got banned within about half an hour, reports a new Claude account has run stably for six days. The shared tips include logging in with a Google account, using a home static IP, a clean new device, timezone set to Taiwan, paying via Google Play, starting at the $20 Max tier, and running Claude on a single always-on Mac Mini accessed remotely.

AILocal and desktop agents such as Claude Code and Codex are powerful largely because they can use the shell, which connects them to the whole CLI ecosystem. The post lists tools including git, ffmpeg, curl, pandoc, gh, cron, and ssh as examples. It also says the video itself was produced by an agent operating the shell.

AICloudflare has released Auto Router in public beta through AI Gateway, where setting the model to cloudflare/auto routes each request to a model judged capable enough for the task. Internal tests showed up to 30% cost savings against frontier models, and on a 97-task internal benchmark cloudflare/auto scored 86.6% at $0.0084 per success versus 96.6% at $0.0210 for Claude Opus 5.5. The router is free during beta.

Why it matters: The source gives a benchmark table of success rates and costs per trial, showing how routing trades quality against price for a gateway deployment.

AIAlibaba's Qwen3.8-27B, a 27B dense model, is now accessible via Nebius Token Factory. Nebius describes it as suited to coding, deep research, and agent workflows, with a focus on planning and completing multi-step tasks.

AINational Day holiday, everyone exercise more, look at AI less btw I feel the small software I made with $1 worth of tokens is better than many professional cycling apps Now I use it every time I ride a bike

AIAfter switching models, can I continue the original session? If so, I really want to keep this menu bar, so I don't have to re-explain the project every time I change models.

AIFactory's Automations, now generally available, let users describe a recurring workflow, set a schedule or event trigger, and have its Droid run it, with the model chosen per task. Templates cover ticket-to-PR, code review, security audits, PR babysitting, and morning Slack briefs. Among enterprise organizations using Automations in the past 30 days, 52% used automated code review, 48% used security review, and 35% used AutoWiki.

AIGPT-6.1 Sol is now live in v0, with access via the v0 app link provided in the post. The quoted Vercel post says it is also on AI Gateway and improves on GPT-6 Sol for coding, computer use, multi-step workflows, and complex document analysis.

AIOpenAI announced more than 20 updates at DevDay 2026, including dots always-on agents, GPT-6.1 Sol, Ultrafast token generation, ChatGPT Space, and a $500/month Pro 500 plan. GPT-6.1 Sol is priced at $2 input and $10 output per 1M tokens and is available in the API as gpt-6.1-sol. Ultrafast generates tokens up to 8x faster in Codex and up to 6x faster in the API.

Why it matters: The post lists dozens of OpenAI DevDay 2026 changes across models, agents, plans, and APIs, useful for scanning what shipped and who gets access.

AICursor can now build charts and diagrams directly within the chat interface. Users can run the /visualize command to analyze data and see the answer inline. The feature is available now in the Agents Window.

AIOpenAI's Ultrafast mode for Astra runs up to 8x faster than Astra Standard and 4x faster than Astra Fast in Codex. Sherwin Wu says inference now feels nearly instant, shifting the bottleneck to users' next complaints.

AIBaseten announced a partnership with OpenAI that makes open models powered by Baseten available to OpenAI customers for multi-model agentic coding. The company says organizations can route each task to the best-fit open or closed model, with Codex and GPT models among the options, and that Baseten's day-zero access to new open models lets teams evaluate them quickly. Baseten also cites US-based infrastructure with zero data retention for all prompts and capacity across more than 90 clusters in 20+ clouds.

AICognition says usage of Devin will count toward the Codex and ChatGPT Work usage already included in a user's plan, with an option to set a lower Devin limit. OpenAI models in Devin Cloud's Lite, Normal, Ultra, and Fusion modes will be paid for by the ChatGPT plan once the account is connected, while other models use the Devin quota.

AIOpenAI introduced Ultrafast, a premium speed tier offering up to 8x faster token generation, reaching 300 tokens per second, in Codex. The same tier provides up to 6x faster generation in the API.

AIBAAI released AREX-2, a 27B-parameter long-horizon agent model that improves solutions over multiple test-time rounds by proposing, measuring, reflecting, and revising. It was trained on machine-learning and algorithmic-programming tasks with verifiable feedback, and the source reports that this self-improvement transfers to deep research. The model is Apache License 2.0 licensed and has a 262,144-token context length.

Why it matters: The source compares AREX-2 against closed and open models on coding and deep-research benchmarks, showing how test-time self-improvement is measured across task types.