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Nov 3Tue
  1. Databricks Blog42

    Lakebase Postgres is now generally available on Google Cloud

    Databricks announced that Lakebase Postgres is generally available on Google Cloud, offering fully-managed, serverless Postgres on the Databricks Data + AI Platform with compute separated from storage and a shared storage layer with analytical data. Features include serverless autoscaling and scale to zero, instant branching, point-in-time recovery, standard Postgres with pgvector-compatible search, and unified governance via Unity Catalog. GA regions are asia-southeast1, europe-west3, us-central1, us-east4, and us-west1.

  2. Claude Blog60

    Make long-running agents faster with message threads

    Anthropic announced that message threads is in public beta on the Claude Platform, letting agents send only new messages plus the previous response ID instead of resending full conversation history each turn. With message threads on by default for most Claude Code users, requests of 500k to 1M tokens saw median time to first token drop by about 35%, though token usage stays the same since Claude still reads the full conversation each turn. Threads are held encrypted in memory, expire 5 minutes after the last request, and are available on the native Claude Platform, Claude Platform on AWS, Claude in Microsoft Foundry, and Claude Models on Google Cloud (Anthropic managed).

    Why it matters: It gives developers concrete latency figures and setup details for a new API feature aimed at long-running agent sessions.

  3. NVIDIA Technical Blog30

    Making Kubernetes AI-Ready for NVIDIA Vera Rubin on Day One

    Configuring and optimizing Kubernetes for new GPU hardware such as NVIDIA Vera Rubin is complex and error-prone, since drivers, kernels, runtimes, networking, operators, and schedulers must work together with settings tuned to the hardware and workload, and small mismatches can prevent workloads from running or limit performance. The NVIDIA AI Cluster Runtime (AICR), part of the NVIDIA DSX AI Factory, is presented as addressing this.

  4. ElevenLabs Blog30

    How KPN is bringing voice AI to the Netherlands' entrepreneurs with Mobiel AI

    KPN partnered with ElevenLabs to build Mobiel AI, an add-on to KPN EEN MKB mobile subscriptions that offers voicemail transcription, call summaries and transcripts with follow-up actions, and call routing and reachability settings. KPN said ElevenLabs stood out for speech quality and conversational AI in Dutch, and the teams raised verification accuracy from roughly 50% to 90%. Mobiel AI runs on KPN's network and data centers, with voice data staying in the Netherlands and customer data not used to train AI models or shared with third parties.

  5. PyTorch Blog28

    Announcing the Special Interest Group (SIG) for Ray on Accelerators

    The Ray community announced a Special Interest Group for hardware accelerators, aiming to bring together hardware vendors, Ray contributors, and application developers around a vendor-neutral roadmap for accelerator support. Its initial roadmap covers development and testing infrastructure, hardware-aware scheduling, and networking/transport, including Ray Direct Transport for direct device-to-device data movement. Ray currently supports more than a dozen kinds of accelerators, from NVIDIA and AMD GPUs to TPUs, Trainium, and Gaudi.

  6. AWS Machine Learning Blog38

    How Circle K accelerated DevOps incident triage to under 15 minutes with Amazon Bedrock

    Circle K built an agentic AI triage system on Amazon Bedrock that investigates Grafana alerts across AWS resources, OpenSearch logs, and GitHub code, then posts a structured root-cause summary to Slack. Initially built on Amazon Bedrock Flows, the system was migrated to a single agent on Amazon Bedrock AgentCore Runtime with AgentCore Gateway brokering data source access. Circle K reports mean triage time dropped from 45–60 minutes to under 15 minutes, a 67–75 percent reduction based on internal incident-response metrics.

  7. AWS Machine Learning Blog40

    Agentic engineering intelligence with Amazon Nova Multimodal Embeddings and Amazon Bedrock AgentCore

    This post describes a multi-agent engineering assistant built on Amazon Bedrock AgentCore, Amazon Nova Multimodal Embeddings, and the open source Strands Agents SDK that assembles evidence for aerospace part substitution decisions. A planner routes queries to Catalog, Evaluation, and Knowledge specialists, with deterministic Python tolerance-rule scoring, Nova Multimodal Embeddings for multimodal retrieval and photo cosine similarity, and a supervisor that synthesizes results only when multiple specialists contribute. The engineer remains the decision-maker, and the system drafts justification memos and Integration Impact Assessments with audit trail entries aligned with AS9100 sections 8.4 and 8.5.6.

  8. AWS Machine Learning Blog36

    Build efficient agents with knowledge distillation on Amazon SageMaker AI

    This post explains how to use sequence-level knowledge distillation (SeqKD) to fine-tune a smaller shopping agent on Amazon SageMaker AI, using a frontier teacher (GLM-5.3 on Amazon Bedrock) to generate multi-step tool-use trajectories that are filtered by ShoppingBench's programmatic scorer and used for serverless supervised fine-tuning of a Qwen3.5-4B student. The distilled student reached an average Absolute Success Rate of 0.541 on 324 held-out ShoppingBench problems, versus 0.297 for the base model and 0.540 for the greedy teacher, while IFEval general instruction-following dropped roughly 6 to 8 points. The post also covers per-step trajectory encoding, LoRA training configuration, a low-cost model-evaluation pre-check, and serving the base model and student adapter as two inference components on one real-time endpoint.

  9. AWS Machine Learning Blog34

    Prepare web content for Amazon Bedrock Knowledge Bases with Crawl4AI

    This post explains when to use the Amazon Bedrock Web Crawler connector versus a custom Crawl4AI-based preparation step that writes Markdown and metadata sidecars to Amazon S3 for ingestion into Amazon Bedrock Knowledge Bases. It walks through the sample AWS CDK workflow—scheduled Fargate crawling, S3 upload, and ingestion job—and covers chunking strategies, metadata filtering for retrieval validation, and responsible AI and security considerations.

  11. NVIDIA Technical Blog22

    Support New AI Frameworks Faster Using NVIDIA Workload Map

    NVIDIA DSX AI Factory Platform brings together technologies to help the ecosystem design, build, and operate more efficient AI factories, including open source, modular software components built to support multi-tenant operations and scaling. Operating an AI factory requires a shared understanding of distributed workloads: their components, pod templates, replica counts, and status.

  12. ElevenLabs Blog28

    Introducing SFX v3 for developers

    ElevenLabs released SFX v3, a new sound effects model in its Sound Effects API that follows multi-instruction prompts more closely than SFX v2 and handles vocals and music better, available by setting model_id to eleven_text_to_sound_v3 on the POST /v1/sound-generation endpoint. The model picks sound length from the prompt, with duration_seconds for specific timing and prompt_influence (default 0.3) to tighten prompt adherence, while looping still requires eleven_text_to_sound_v2 with loop: true. The company describes v3 as an incremental update that is less likely to clip on high-frequency sounds and recommends A/B testing common prompts across both models since they share an endpoint.

Nov 1Sun
  1. OpenRouter Announcements60

    Build an AI Code Reviewer with OpenRouter

    This guide presents a 233-line Python script (review.py) that uses the OpenRouter Responses API with the Files API, Shell server tool, and Apply Patch server tool to run changed files in a hosted Linux sandbox, confirm bugs by executing checks, and return fixes as V4A patches. It covers setup, a five-bug sample repository, a Git pre-push hook, and a GitHub Actions workflow, with benchmark results across four models (e.g., Claude Sonnet 5.5 fixing all five bugs at $0.0447 and 60 seconds). The script writes a report to .git/ai-review.json and exits 1 when a finding meets the --block-at severity threshold.

    Why it matters: It offers a concrete, reproducible implementation with cost and latency benchmarks, plus practical notes on API pitfalls, useful for developers building automated code review.

  2. Databricks Blog50

    Lakebase branching for CI/CD: lessons from 100 PR databases

    Snorkel AI replaced ~20-minute Aurora database restores for each PR environment with Databricks Lakebase copy-on-write branches, provisioning a writable production-like database in under 60 seconds. A DMS-replicated main branch stays within about 2 minutes of production Aurora, and each PR branch is created via API, given a TTL, and deleted when the PR closes. The design targets about 100 concurrent PR branches on a ~2.5 TB dataset, with per-branch compute scaling to zero and service principals using short-lived OAuth tokens for CI.

  3. Browser Use Blog60

    BU Ultrafast is live

    Browser Use has made BU Ultrafast, its fastest browser agent, available on every Browser Use Cloud plan in the US, including the free plan, after a waitlist period that ended Oct 30. The company reports a median task time of 22 seconds and $0.0064 per task for Ultrafast, versus 79 seconds and $0.0098 for its default agent on GPT-6 Luna, based on medians of completed runs from Oct 16-29, 2026. Users enable it by setting the model to bu-ultrafast, and bu-fast offers the same agent with more reasoning per step.

    Why it matters: It gives concrete speed and cost benchmarks for a newly released browser agent and explains how to switch to it via the API.

  4. Browser Use Blog38

    How to Track Competitor Prices with Python

    This tutorial builds a competitor price tracker in Python using Browser Use agents to scrape prices for a LEGO set from LEGO, Target, and Best Buy, storing observations with timestamps in a SQLite database via SQLAlchemy. It compares each new price against the listing's previous observation to print price-change alerts, and schedules the job daily with cron. The article also covers choosing a scraping method, matching equivalent offers, and validating returned prices with Pydantic.

Oct 31Sat
  1. Claude Code Releases18

    v2.1.316

    Claude Code v2.1.316 adds new environment variables including CLAUDE_CODE_DISABLE_ULTRATHINK, CLAUDE_CODE_DISABLE_LOOPED_CROSS_CERT_DROP and CLAUDE_CODE_SUBAGENT_EFFORT, plus pooled group budgets, layered policy mode and Bedrock input tagging for the Claude apps gateway. It deprecates fast mode for Opus 4.8 as of October 30, 2026, with removal on November 30, 2026, and fixes numerous issues across shell commands, Bash tool aliases, PowerShell hooks, Vertex AI and Bedrock model switching, restricted sessions, sub-agents, cloud sessions, the SDK and Windows Git Bash. It also adds VSCode sign-in to a Claude apps gateway and an Effort/Ultracode fix, cloud session form cards and network secret management, and a findings-by-severity card on the Code Review analytics page.

  2. AWS Machine Learning Blog36

    Managing Amazon Bedrock costs end to end: A playbook for FinOps and platform teams

    This AWS post lays out a five-stage, looped operating model for Amazon Bedrock cost management: attribute every dollar to an owner via IAM principal and session tags in CUR 2.0, make every request observable through model invocation logging and stamped request metadata, enforce budgets at one of three tiers (monitor-only, IAM deny on breach, or synchronous gateway blocking), optimize platform defaults such as intelligent prompt routing and prompt caching, and operate a scorecard with a review cadence. It notes that agentic workloads issue many invocations per task and scale token consumption with autonomy and context size rather than user interactions, and it addresses the shared-role attribution problem in LLM gateways. FinOps leads the attribution and operate stages, platform engineering leads observability, enforcement, and optimization, and the review is joint.

  3. AWS Machine Learning Blog50

    Preview web apps live as your coding agent builds them with Amazon Bedrock AgentCore runtime

    Amazon Bedrock AgentCore runtime Session endpoints give each agent session an authenticated URL that forwards HTTP and WebSocket traffic to the ports you allow via allowedPorts, so a Vite site running in the session can be viewed in a browser as the agent edits it. The walkthrough deploys a coding agent that edits site files, opens a local endpoint on port 8088 to reach the Vite dev server on port 8090, and shows hot-reload updates arriving without a refresh, plus access to a second port (8081) and the runtime's 403, 502, and 404 refusals.

  4. NVIDIA Technical Blog25

    Build a Validated Kubernetes Runtime for NVIDIA Dynamo

    The article addresses the need for a repeatable path from model configuration to a working inference endpoint when deploying NVIDIA Dynamo, a distributed inference framework that coordinates model serving across GPU workers, on Kubernetes. It notes that deployment is only a first step, since a successful model deployment also requires GPU drivers, resource allocation, scheduling, networking, and monitoring to all work.

  5. NVIDIA Technical Blog22

    Run AI Models for Edge Application Development with Just a Few Commands

    AI is moving beyond the data center as developers build agents that act at the edge, including monitoring driver attention and cabin conditions, helping robots understand surroundings and plan tasks, and coordinating fleets of machines on production lines. These physical AI applications rely on models that perceive, reason, and act within tight memory, power, and latency budgets.

  6. Databricks Blog42

    Databricks and SAP unleash end-to-end data & AI capabilities to level up enterprise AI transformation

    At SAP TechEd, Databricks and SAP announced an expanded partnership bringing the full Databricks Data + AI Platform—including Genie, Lakeflow, Unity Gateway and Lakebase—into SAP Databricks within SAP Business Data Cloud, alongside SAP Application Data Foundation for cloud-native access to SAP application data without custom extraction pipelines. The companies cite customers such as Adidas, Zalando, Mondi, CAF and SAF-Holland, which uses SAP BDC and SAP Databricks to unify over 100 million records and generate analyses 5x faster. SAP Databricks and SAP BDC Connect for Databricks are available today.

  7. Baseten Blog57

    The fastest delta weight syncs in the world

    Baseten rebuilt its delta weight sync path so the GPU weights themselves serve as the parent checkpoint, eliminating the ~770 GB CPU copy and cutting a GLM-5.3 sync from 36 seconds with a 6-second pause to 15 seconds with a 0.8-second pause. The new design uses a native decoder that keeps only nonzero XOR bytes, O(1) Adler-32 checksum corrections, and a separate CUDA-free helper process, and it frees host memory for KV cache offloading, raising cache hit rate from 2% to 92% and output throughput per GPU by 3.2x at concurrency 48 on AgentX. It also enables Kimi K3 RL rollout on two GB300 nodes, syncing an 8.4 GB delta in 75 seconds with a 4.1-second pause.

  8. Databricks Blog22

    Wealth Management Client Onboarding Needs More Than AI

    This Databricks article argues that faster task-level AI does not fix wealth management onboarding delays, because cases still stall at handoffs between CRM, KYC, screening, custody and workflow systems where teams must reconstruct what changed and who owns exceptions. It proposes "governed case context"—a current, versioned, source-linked view of each case—plus supervised AI agents with human authority over exceptions and approvals, and outlines four platform capabilities and end-to-end measurement guidance. It cites figures including ~6 weeks to open a private banking account in Singapore, 60% of 144 wealth executives lacking a unified client view, and 41% of relationship managers' time spent on operational work.

  9. Hugging Face Blog36

    nemotron-halloween

    The author describes MonsterHouse, a Halloween interactive projection built on the NVIDIA Nemotron Voice Agent with Nemotron Speech ASR, Nemotron 3.5 Bolt E4B 4GB, Magpie TTS Zeroshot and Audio2Face-3D, running on a single workstation with two RTX PRO Blackwell GPUs. The grumpy pirate-ship garage door listens to trick-or-treaters, replies through a LoRA-tuned Bolt E4B model, speaks in a zero-shot Magpie voice with seven moods, and animates its mouth in Unreal Engine 5 via Audio2Face-3D, with optional Nemotron 3 Nano Omni costume descriptions plus YOLO and ByteTrack visitor tracking. The MonsterHouse code is not released, but the post outlines a build path using the open models and reports median end-of-speech-to-audio of 1.70 seconds with Bolt Q4 and TTS, or 0.72 seconds for cached responses.

  10. Cloudflare Blog78

    4 real? Tracking exploitation and patching of eMudhra’s weak keys

    Cloudflare reports that eMudhra's eight weak intermediate keys (derived from numbers like 4, 56, 66, 115, 155, 156, 230 and 237) could be recovered by anyone from public certificates, and that it patched all high-priority systems after learning of the issue on October 19, 2026. Logging on Pingora recorded about 22,000 attempted handshakes with the weak keys over a week, two-thirds of them fetches of test sites, with roughly 160 presenting forged certificates naming unrelated domains, one dated October 20 at 18:19 UTC, less than an hour after Mozilla's bug report became public. Probe data from 50 million challenge-page connections shows modern browsers mostly patched while bots and embedded browsers such as Android WebView lag, with more than half of probes on large networks still accepting the compromised chain.

    Why it matters: Documents real-world exploitation evidence and patching progress for a CA key compromise, with concrete data on forged certificates and client-side trust.

  11. AWS Machine Learning Blog36

    Configure the ChatGPT desktop app with Amazon Bedrock in AWS GovCloud (US)

    This AWS post walks through a controlled local deployment of the ChatGPT desktop app and Codex that routes model inference through Amazon Bedrock Mantle in us-gov-west-1, using API-mode sign-in, a named AWS profile, an administrator-controlled requirements.toml, and network restrictions that allow only the approved Bedrock endpoint. It covers prerequisites, authentication via an Amazon Bedrock API key or the AWS SDK credential chain (including SSO), the config.toml and requirements.toml settings, launch and verification steps, troubleshooting, and rollback. The post notes that using AWS GovCloud (US) and following the guide do not by themselves authorize a workload, and that organizations remain responsible for reviewing the deployment against their security and authorization processes.

  12. AWS Machine Learning Blog42

    How Worldwide Express automated freight exceptions with Amazon Bedrock

    Worldwide Express, part of ShipStation Global, built a multi-agentic AI solution on Amazon Bedrock that connects to its SpeedShip transportation management system, using three specialized agents for invoice matching, pricing variances, and accessorial validation, each grounded in carrier-specific knowledge bases. Six months after launch, the company reported a 75 percent reduction in active exceptions (from $15M to $4M), a 4-week improvement in time-to-cash, $1M in annual savings, and a one-time $10M free cash flow infusion, with agents closing about 10,000 exceptions weekly at under 1 percent error rate across over 40 LTL carriers. The solution moved from assessment to production in less than 6 months and initially used human-in-the-loop approval before bulk approval became the default once accuracy exceeded 99 percent.

  13. Baseten Blog25

    Autoscaling schedules: reduce cold-start delays for predictable traffic

    Autoscaling schedules raise the minimum number of replicas before predictable traffic arrives, reducing cold-start delays. Each schedule sets a time window plus minimum and maximum replica counts, can recur or run once, and up to 10 schedules per environment can be configured via dashboard, CLI, or Management API, with non-overlapping windows of at least five minutes sharing one timezone. When no schedule is active, the environment uses its default settings.

  14. n8n Blog30

    Throttling vs. rate limiting: Backoff strategies for workflows

    This article distinguishes rate limiting, where excess requests are rejected (often with a 429 error), from throttling, where requests are delayed or queued, and explains how rate-limit algorithms such as fixed vs. sliding windows and token vs. leaky buckets affect how workflows should pace calls. It covers using the Retry-After header, exponential backoff with a maximum delay and retry limit, adding jitter to prevent synchronized retry spikes, and checking idempotency before retrying requests with side effects. It then describes how n8n handles these patterns through batching and wait nodes, Retry On Fail with Wait Between Tries, concurrency controls, and Error Trigger workflows for persistent 429s.

  15. NVIDIA Technical Blog50

    Build Specialized Agents on a Stack You Control with NVIDIA NemoClaw

    Building an autonomous agent requires a model, a harness, and domain-specific tools. To deploy an agent more securely, developers need a runtime that enforces policies, along with optimization and observability tools for reliable execution. For production agents, the challenge lies in making these agents capable and safe to operate with access to real enterprise systems and data.

  16. Manus Blog58

    Rebuilding Manus with Manus: What changed, what broke, and how we work now

    Manus co-founder and CPO Tao Zhang describes how the company reorganized engineering, product and marketing around agents, arguing that AI only helped once loops closed, agents got full system context (via an internal tool called Mono), and autonomy was bounded by checkable success criteria. He reports that roughly half of PMs now ship features themselves and that engineering speed shifted the bottleneck to product decisions, while acknowledging fragmented attention, scattered information and unresolved sharing permissions.

Oct 30Fri
  1. NVIDIA Newsroom58

    Things That Go Beep in the Night: Agentic AI Joins the Search for Extraterrestrial Signals

    Breakthrough Listen and the SETI Institute are integrating agentic AI into the daily search for extraterrestrial intelligence at the Allen Telescope Array in Northern California, where agents can steer the instrument, correct incoming data and apply AI models from a single natural language request. The system uses the NVIDIA Holoscan platform, DAQIRI, CyberEther and the Nexus orchestrator to process 2.4 terabits per second on NVIDIA RTX PRO 6000 Blackwell GPUs with on-premises inference, and it has achieved the first real-time AI detection of a pulsar in the Crab Nebula. The team is next evaluating open models including NVIDIA Nemotron for data-locality-sensitive cases and observatories that may someday run offline on the far side of the moon.

  2. NVIDIA Technical Blog20

    How to Check and Configure NVIDIA GPUDirect Storage for Your Platform

    NVIDIA GPUDirect Storage (GDS) accelerates GPU storage access in on-premises and cloud environments by providing a portable, efficient data path between NVIDIA GPUs and storage targets. It aims to increase bandwidth, minimize latency, and reduce CPU and memory utilization across a broad range of platforms, application frameworks, and workload patterns. The article covers how to check and configure GDS for your platform.

  3. Cloudflare Blog36

    Cloudflare services for private origins is now generally available

    Cloudflare's services for private origins are now generally available, letting customers point a proxied A or AAAA record at a private IP so Cloudflare reaches the origin over existing Cloudflare One connectivity while WAF, caching, bot management, and Workers apply as they do for public origins. The private_routing setting enables automatically for RFC 1918, RFC 6598 CGNAT, and RFC 4193 IPv6 ranges, and no inbound firewall exception is required. Argo Smart Routing and Dedicated CDN Egress IPs are not supported, and origin health checks require Load Balancing.

  4. ElevenLabs Blog38

    TELUS Digital cut early cancellations by more than half with ElevenAgents

    TELUS Digital built an outbound voice agent on ElevenAgents that calls new home internet customers within their first 90 days to explain their first bill, introduce self-serve tools, and prompt bundling discounts. Among customers who received a call, 30-day cancellations were less than half the rate of the broader new-customer cohort, with calls rated 8.5 out of 10 on average and C$55,000 in lifetime revenue retained per 1,000 customers reached. The agent was live in about six weeks from initial vendor engagement, and five additional use cases are now in active development.

  5. Cursor Blog82

    Security notice — malicious version of Anthropic.claude-code (2.1.313) identified in the Cursor Extension Marketplace

    Cursor reported that a maliciously modified Anthropic.claude-code version 2.1.313 was available in its VS Code extension Marketplace between about 2:27am and 1:35pm PT, affecting at most 5,000 users; the extension attempted to install a persistent SSH backdoor, though the attacker server has since been taken offline. Cursor removed the version, shut down and rebuilt the marketplace, rotated keys, and published indicators of compromise plus macOS and Windows check and remediation scripts. Users who installed the version in that window should check for the svc-telemetry SSH key, remove persistence and tunnel processes, and rotate credentials from a trusted system.

    Why it matters: The notice gives concrete indicators of compromise and remediation steps that Claude Code users can act on directly.

  6. Waymo Blog58

    Toyota and Waymo Advance Autonomous Driving Collaboration for Safer Streets and Freedom of Movement for All

    Toyota and Waymo announced the next phase of their autonomous driving collaboration, building on their April 2025 preliminary agreement, with initial operations to test and validate an autonomous Toyota bZ4X fleet in Japan in 2027 and planned deployment to the United Kingdom and other Waymo-serviced markets in following years. Toyota will build the vehicles at its Takaoka plant in Toyota City, Aichi Prefecture, handling everything from base vehicle assembly to integration of Waymo's AV hardware, pairing Toyota's manufacturing and vehicle development with Waymo's fully autonomous technology to scale safety-validated Level 4 vehicles globally. The companies will also continue exploring autonomous driving for personally owned Toyota vehicles and, alongside Woven by Toyota, initiatives supporting fewer road safety incidents.

  7. Claude Code Releases20

    v2.1.314

    Claude Code v2.1.314 adds a permissions.blockWritesOutsideWorkingDirectories setting that blocks Write, Edit and NotebookEdit outside working directories in every permission mode, optional IdP group lists for Claude apps gateway upstreams, guardrail_trace logging for Bedrock upstreams, and idle compaction in VS Code and the Claude Desktop Code tab. It also fixes numerous issues, including "Invalid effort level" failures under admin effort caps, claude -p exiting 0 with no output on startup failure, Bedrock sessions with many images failing with "400 Input is too long," and Microsoft Foundry sessions failing when the default model has no deployment.

  8. OpenRouter Announcements60

    How Much Does Claude Code Cost? Real Session Costs by Model

    Claude Code is free to install, but users pay for the model it calls, either through a Claude subscription or per token on an API key. Median API-key session costs from OpenRouter data over the 30 days to October 18, 2026 were $0.31 for a 2–9-turn session and $1.39 for a 10–49-turn session on Claude Opus 5.5, versus $0.16 and $0.60 on Claude Sonnet 5.5. Most of the cost comes from Claude Code's own context written to the prompt cache on the first request and read back on later turns, so the article recommends Sonnet as default, Haiku for background jobs and sub-agents, shorter sessions, and a credit limit on the key.

    Why it matters: It gives concrete per-session cost medians by model and length, plus practical levers for controlling Claude Code spend.