Hi there, this is your daily ☕️ Devshot.
In today's Devshot:
🔷 Google launches Gemini 4 Argon
🤖 OpenAI turns ChatGPT into an app platform
📦 Cloudflare Containers now start 6x faster
🧠 OpenAI launches Decisions API
🦆 AWS embeds DuckDB in Aurora PostgreSQL
🗃️ Cursor hits 300 Git pushes per second
Plus: 🎁 8 more stories you might like, 🧰 6 tools, and 📚 5 papers.
🔷 Google launches Gemini 4 Argon LINK
- Google has rolled out Gemini 4 Argon, its next-generation frontier model, first to cybersecurity partners under its Fairwinds program, with Sundar Pichai citing strong internal use across coding, cyber defense, and quantum computing.
- Pricing undercuts rivals at $2 per million input tokens and $10 per million output tokens, with cached input heavily discounted, while Google claims parity or an edge over Anthropic's and OpenAI's top models.
- Google highlighted use cases including quantum algorithmic optimization of qubits and gates, fleetwide data-center telemetry analysis, and large-scale codebase migration, with Argon already deployed in its security business and at Wiz.
🤖 OpenAI turns ChatGPT into an app platform LINK
- OpenAI opened ChatGPT to third-party apps, letting developers build app-like experiences via plugin extensions that get a dedicated home in the sidebar, unveiled at its Dev Day presentation on Tuesday.
- Beyond existing plugins that wire ChatGPT to tools like Slack and Google Drive, the extensions add interactive panels and file viewers for custom formats, so users work inside their tools while chatting; a new Plugin Creator handles building.
- Submission runs through a redesigned directory flow with clearer feedback and improved ranking, users approve each access request individually, ChatGPT Sites can host the plugins, and the proposed MCP Events spec lets plugins trigger automations from connected-app events.
📦 Cloudflare Containers now start 6x faster LINK
- Cloudflare rearchitected its Containers for on-demand agent workloads, so code can now pick each sandbox's image and instance type at runtime, startup is roughly 6x faster, and filesystem snapshots are in public beta.
- The new durable_object scheduling policy starts Containers wherever the Durable Object already runs, favoring hosts that cache the image, and restores a prepared VM instead of booting fresh, cutting median startup from about four seconds to 648ms in ComputeSDK's benchmark.
- Rollouts become plain code, canary, pin, or roll back by choosing which image future starts use, with no config push or drain, and the new cloudflare/debian-trixie image plus snapshots let agents skip Dockerfile builds and resume saved workspaces across sessions.
🧠 OpenAI launches Decisions API LINK
- OpenAI unveiled its Decisions API at DevDay on Tuesday, built on its smallest and cheapest Luna model, offering a purpose-built alternative to general chat models for classification and routing tasks.
- Instead of prose, the API returns a set of developer-supplied answers with realistic confidence scores, and it responds in about 150 milliseconds versus roughly 1.6 seconds for GPT-6 Luna on the same kind of task.
- It sits between prompt-based classification and training a small classifier, taking new labels in the prompt without retraining, but it's only in limited preview, and per-call pricing, candidate limits, and fine-tuning support remain unannounced.
🦆 AWS embeds DuckDB in Aurora PostgreSQL LINK
- AWS has embedded the DuckDB analytical engine inside Aurora PostgreSQL, letting applications query Apache Iceberg and Parquet data in S3 alongside live transactions without copying data or building reverse ETL pipelines.
- DuckDB runs analytical scans within Aurora, so a single query can join operational records, including uncommitted writes, with data lake tables, while Aurora filters columns, caches hot data, and exposes metrics like rows scanned and S3 bytes read.
- Enabled via the aurora_analytics extension and an IAM role, the feature works on Aurora PostgreSQL 17.11 and 18.6 in all commercial regions at no extra charge, with customers paying only for the compute and S3 requests their queries use.
🗃️ Cursor hits 300 Git pushes per second LINK
- Cursor built Continuity, a Git storage architecture that treats an S3-backed write-ahead log as the source of truth instead of coordinating consistency across replicas, hitting more than 300 Git pushes per second in its tests.
- Pushed data lands in S3 and the reference update is recorded in the WAL, with a push acknowledged only after persistence; local NVMe repositories act as warm caches, and any server can accept a push via atomic compare-and-swap on S3.
- Synthetic tests on Cursor's everysphere monorepo reached ~120 pushes per second on S3 Standard and over 300 on S3 Express One Zone, where Git compaction became the bottleneck, though the published figures remain independently unverified.
Other news you might like
- Vibe coding brings OG Halo ports to PS5, web browsers, and other weird places LINK
- Tempo 3.1 release: new features for Kafka, TraceQL metrics updates, trace redaction, and more LINK
- Developers say OpenAI and Anthropic safeguards are flagging routine work and costing them time LINK
- We asked five AI tools to build accessible websites. All 15 sites failed. LINK
- Transcoding UTF-8 to UTF-16 with replacement at gigabytes per second LINK
- Exorcising Ghost Apache Kafka Controllers LINK
- OpenMandriva ROME 26.09 goes big on local AI and Linux performance LINK
- openSUSE Leap adds a new security layer: Immutable mode LINK
🧰 Trending tools
Die With Me: a Mac app that tracks your Claude and Codex usage, compares it with friends, and opens a chatroom when your allowance runs out. LINK
Dograh: open-source voice agent platform with a visual flow builder, telephony, human transfer, and self-hosted QA monitoring across 30-plus model integrations LINK
tiun: an AI-native backend bundling authentication, payments, customer database, and analytics so teams ship and scale without stitching separate services together. LINK
Kane CLI: drives real Chrome using plain-English commands to test web apps and extract data, replacing brittle selectors and scripts for developers, QA, and AI agents. LINK
Harden: a free, local security tool that inspects AI coding agent tool calls before execution, keeping your repo and data on your machine. LINK
Arcjet: runtime security for AI apps that detects prompt injection, authorizes agent tool calls, redacts sensitive data, and blocks bots before actions execute. LINK
📚 Trending papers & reports
Coding-agent speedup runs an AI assistant's slow tasks like compiling and testing early and in parallel instead of waiting, finishing jobs up to ~1.35x faster with zero wrong results across 4,000 checks. LINK
Multi-agent coding teams often ignore the collaboration rules they are given, so this framework measures how faithfully AI coders follow their assigned setup, ranging from 47% to 97%, and its two-coder version beats tools like Claude Code. LINK
AI agent guardrails enforce hard safety checks instead of trusting an overall quality score, blocking 80 of 100 dangerous actions a score-based approach would wave through in high-stakes coding, medical, and legal tasks. LINK
Code-editing AI assistants stumble not at writing fixes but at finding where to make them, so tools must pinpoint exact edit spots rather than relying on the model's raw ability to generate changes. LINK
From-scratch coding test measures whether AI agents can build entire software projects in Python, Go, and other languages, and the strongest one solved just 10 of 11 tasks, with failures caused by single tiny omissions. LINK
See you tomorrow for a new dose of ☕️ Devshot!