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#Anthropic

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10/5Mon
  1. AI Hero · Skills Updates62

    AI Hero Skills v1.3 released: new /implement-spec, /pr, and /retro skills, and CONTEXT.md renamed to GLOSSARY.md

    AI Hero Skills v1.3 is out, adding three skills—/implement-spec, /pr, and /retro—and extending the main flow from /grill-with-docs → /to-spec → /to-tickets into implementation, PRs, and retros.

    Why it matters: The author rounds out the skill set into a full path from writing specs to PRs and retros, and lays out the trade-offs at each step along with the rough edges they already know about.

9/23Wed
  1. Lovable · Blog60

    Lovable Ships Opus 5.5: Faster Builds, Quality on Par with Opus 5

    Lovable has shipped Opus 5.5, which the company says matches Opus 5 in results while cutting the number of steps by one-third to one-half. On Lovable's internal benchmarks, Opus 5.5 ties Opus 5 on 0-to-1 builds and iterative code changes, and comes out 4% to 6% ahead on validation discipline; across all reasoning effort levels, steps per task drop by 26% to 57% and input tokens fall by 21% to 59%, with the differences significant at the 95% confidence level.

    Why it matters: Lovable shares official comparison data between Opus 5.5 and Opus 5 on step counts and tokens, so readers can judge the real change in build efficiency.

7/30Thu
  1. Terminal-Bench · News60

    Terminal-Bench 3.0 is out: 74 tasks across 7 domains, with the strongest model passing about 34%

    The Terminal-Bench team releases Terminal-Bench 3.0, whose first version spans 7 domains and 74 tasks, with the strongest model passing about 34%. Building on Terminal-Bench 2.1, this release broadens task diversity and adds CI/CD, semantic versioning, and result migration to keep improving the benchmark.

    Why it matters: Terminal-Bench 3.0 rebuilds the benchmark with 74 tasks and CI/CD-based versioning, so readers can see how the new benchmark separates models.

6/3Wed
  1. claude.dev · Anthropic Developer Blog86

    Anthropic shares what it learned from using Skills inside Claude Code: nine categories and tips for writing them

    Inside Claude Code, Anthropic has already built up hundreds of Skills in active use. The team sorts them into nine categories—library and API references, product validation, data fetching and analysis, business process automation, code scaffolding, code quality and review, CI/CD and deployment, runbooks, and infrastructure operations—and notes that the best Skills should fall cleanly into one of them.

    Why it matters: Anthropic’s internal framework for categorizing hundreds of Skills, along with its experience writing them, can carry over to a team building its own Skill library.

6/2Tue
  1. claude.dev · Anthropic Developer Blog82

    Claude Code Dynamic Workflows: Six Orchestration Patterns and Use Cases

    Anthropic has shipped dynamic workflows in Claude Code. Claude can write its own harness on the fly for a specific task, and these workflows can be shared and reused. Workflows orchestrate subagents through functions like agent(), parallel(), and pipeline(), and you can specify which model each agent uses and whether it runs in its own worktree. If a session is interrupted, resuming it picks up where it left off.

    Why it matters: The Anthropic team breaks down six orchestration patterns for dynamic workflows and where each one fits, and these patterns carry over to multi-agent task design.

5/26Tue
  1. Augment Code · Blog62

    Augment hands on-call triage over to Cosmos agents, cutting manual effort by 81%

    Augment wires the Incident Investigator expert from its internal Cosmos platform into Slack and PagerDuty. It automatically triages every alert and runs root-cause analysis, then suggests one of four actions: fix the code, roll back, upgrade, or just keep monitoring. Humans only review the RCA and make the call.

    Why it matters: Augment has shared the full playbook for putting Cosmos Expert on alert triage, along with a month of before-and-after data, so you can adapt it to your own on-call process.