Are You Token Maxing Wrong? #speedscale #claude #claudecode #softwareengineer #aiagents #aicoding
Stop burning cloud credits blindly, here is how big tech actually scales AI with software factories. Learn more.
Operations | Monitoring | ITSM | DevOps | Cloud
The Place Where Modern Operations & Technology Come Together
The latest News and Information on API Development, Management, Monitoring, and related technologies.
Sponsored Post
Replay Real Customer API Sessions as Datadog Synthetics Tests
A customer pings support: "I tried to check out twice this morning and got a 500 each time, but it works fine for everyone else." The session ID is in the email. You have full request/response capture in your environment, you have Datadog Synthetics already running browser checks against the same flow, and you still spend the next two hours grepping logs because none of those tools let you say "show me just this user's requests, in order, and re-run them."
Anthropic Claude API Pricing In 2026: Every Model, Token Rate, And Cost Lever
Claude API pricing per million tokens: Haiku 4.5 at $1/$5, Sonnet 4.6 at $3/$15, Opus 4.7 at $5/$25. Plus caching, batch discounts, and how to optimize API spend at scale.
LLM API Pricing Comparison In 2026: Every Major Model, Ranked By Cost
Compare LLM API pricing across OpenAI, Anthropic, Google, DeepSeek, and Mistral in 2026. Full pricing tables, hidden cost breakdowns, and proven strategies to cut AI spend. Written for engineering leads, platform teams, and FinOps practitioners evaluating or optimizing production AI costs.
What Architecture Ensures Long-Term Scalability in a Rails-Based B2B Platform?
Scalability is not a feature you add later; it is a choice made at the architectural level from day one. A Rails-based B2B platform that handles growing clients, data, and transactions without slowdowns or costly rewrites is built on a modular design, clear domain boundaries, background job processing, caching, and a database strategy that supports load distribution and horizontal scale. Get these foundations right, and you stay in control of growth instead of reacting to problems after they appear.
How a Marketing Intern Ended Up Running Claude in a Terminal
Before I ever ran Claude in my terminal, I thought I already understood AI tools pretty well. Like most people, I had used ChatGPT, Google Gemini, and Perplexity for everyday tasks. Such as helping with schoolwork, organizing ideas, summarizing information, or getting through something faster when time was tight. They were useful, but they still felt separate from how real work happened.
API Security Testing Just Got Easier & Smarter | Harness Blog
Application security & engineering teams are under pressure to move faster, cover more, and reduce the operational drag that often comes with security testing. But in practice, two problems keep slowing teams down and adding friction.
Detect, Communicate, Resolve: Checkly's Agentic Workflow End-to-End
Coding agents are the fastest-growing audience for the Checkly CLI, and we're doubling down on them. In this session, Stefan hands Claude a real e-commerce app, lets it set up monitoring with `npx checkly init`, generate Playwright tests through MCP, and walk an actual alert end-to-end with Rocky AI in the loop.