#Coding

AIDeepSeek releases the DeepSeek Harness v0.2 preview with a desktop app for macOS and Windows. The release adds a plugin manager for installing, disabling, and uninstalling plugins without terminal commands, plus an experimental creator mode that generates plugins from user descriptions. The company says DeepSeek Harness is now the most widely used coding agent among users of the official DeepSeek API by DAU and daily sessions.

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.

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.

AIKarl's AI Watts asks whether a menu-bar tool can switch models while preserving the existing conversation, so users avoid re-explaining their project each time. The post frames this as the reason they want to keep the menu bar tool, which the quoted post describes as magpie, a menu-bar switcher for 20+ agents including Claude Code and Codex that also offers a local gateway.

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'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.

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.

AIAt low effort, GPT-6.1 Sol scores 58.1% at $0.21 per task, up from 50.5% for GPT-6 Sol at the same setting. That makes it the highest-scoring model under $0.30 per task on the leaderboard.

AIOpenCode says Space Bunny received an upgrade over the weekend, with another one coming soon. The free period has been extended by five days, now running through 10/05.

AIReplit explains how its Agent lets the core model pick subagent tier and effort mid-task rather than relying on an external router. On DeepSWE and Terminal-Bench, Replit Agent scored 72% at $2.11 per task and 49% at $2.53 per task, beating a single long-lived worker sidekick setup by 11 and 16 points. The company says Astra on its own scores higher only at more than twice the cost.

Why it matters: The post gives a concrete harness design with benchmark cost-score comparisons, helping builders weigh delegation strategies against routers and single-worker setups.

AIYuchen Jin argues OpenAI and Anthropic are roughly tied on coding LLMs, so the competition now centers on which $100/$200 Pro plan is more generous and resets more often. He suggests the winner will be whoever has more GPUs and is willing to lose more money to capture the market. He adds that a future Gemini 4 could change this picture.

AIProximal, a year-old startup supplying coding data to AI labs, raised funding from General Catalyst at a $300m valuation. In the past 10 months, it has surpassed $200m in annualized revenue, reflecting the labs' ongoing demand for data.

AIMatei Zaharia said autoresearch produced strong results that are being integrated into a model serving stack. The post gives no specific figures, benchmarks, or product names. Background context from a related post says Databricks ranked #1 on NVIDIA's SOL-ExecBench kernel leaderboard across all four tracks using agents.