Claude-code

• I’m reading an article today about a long-term programmer coming to terms with using Claude Code. There’s a quote at the end that really stuck with me: “It’s easy to generate a program you don’t understand, but it’s much harder to fix a program that you don’t understand.”

  I concur, while building it may be fun, guess what? Once you build it, you got to maintain it, and as a part of that, it means you got to know how it works for when it doesn’t.

  Jan 26, 2026 / AI / Programming / Claude-code

• Two Changes in Claude Code That Actually Matter

  As of 2026-01-24, the stable release of Claude Code is 2.1.7, but if you’ve been following the bleeding edge, versions 2.1.15 and 2.1.16 bring some significant changes. Here’s what you need to know.

  The npm Deprecation Notice

  Version 2.1.15 added a deprecation notification for npm installations.

  If you’ve been using Claude Code via npm or homebrew, Anthropic will soon start nudging you toward a new installation method. You’ll want to run claude install or check out the official getting started docs for the recommended approach.

  This isn’t a breaking change yet, but it’s a clear they are moving away from npm for releases going forward.

  Built-in Task Management

  Version 2.1.16 introduces something I’m genuinely excited about: a new task management system with dependency tracking.

  If you’ve been using tools like beads for lightweight issue tracking within your coding sessions, this built-in system offers a similar workflow without the setup.

  You can define tasks, track their status, and—here’s the key part—specify dependencies between them. Task B won’t start until Task A completes.

  This is particularly useful for repositories where you don’t have beads configured or you’re working on something quick where setting up external tooling feels like overkill.

  Your sub-agents can now have proper task management without anything extra.

  Should You Update?

  If you’re on 2.1.7 stable and everything’s working, there’s no rush. But if you’re comfortable with newer releases, the task management in 2.1.16 is worth trying, especially if you work with complex multi-step workflows or use sub-agents frequently.

  The npm deprecation is something to keep on your radar regardless. Plan your migration before it becomes mandatory.

  Jan 25, 2026 / DevOps / Ai-tools / Claude-code

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• Claude Code’s built-in tasks are pretty solid—they work well for what they do. But I still find myself reaching for Beads. There’s something about having persistent issue tracking that lives with your code, syncs with git, and doesn’t disappear when you close your terminal. Different tools for different jobs, I suppose.

  Jan 24, 2026 / Claude-code / Developer-tools

• 36 Framework Fixtures in One Session: How Beads + Claude Code Changed Our Testing Game

  We built test fixtures for 36 web frameworks in a single session. Not days. Not a week of grinding through documentation. Hours.

  Here’s what happened and why it matters.

  The Problem

  api2spec is a CLI tool that parses source code to generate OpenAPI specifications. To test it properly, we needed real, working API projects for every supported framework—consistent endpoints, predictable responses, the whole deal.

  We started with 5 frameworks: Laravel, Axum, Flask, Gin, and Express. The goal was to cover all 36 supported frameworks with fixture projects we could use to validate our parsers.

  What We Actually Built

  36 fixture repositories across 15 programming languages. Each one includes:

  • Health check endpoints (GET /health, GET /health/ready)
  • Full User CRUD (GET/POST /users, GET/PUT/DELETE /users/:id)
  • Nested resources (GET /users/:id/posts)
  • Post endpoints with pagination (GET /posts?limit=&offset=)
  • Consistent JSON response structures

  The language coverage tells the story:

  • Go: Chi, Echo, Fiber, Gin
  • Rust: Actix, Axum, Rocket
  • TypeScript/JS: Elysia, Express, Fastify, Hono, Koa, NestJS
  • Python: Django REST Framework, FastAPI, Flask
  • Java: Micronaut, Spring
  • Kotlin: Ktor
  • Scala: Play, Tapir
  • PHP: Laravel, Slim, Symfony
  • Ruby: Rails, Sinatra
  • C#/.NET: ASP.NET, FastEndpoints, Nancy
  • C++: Crow, Drogon, Oat++
  • Swift: Vapor
  • Haskell: Servant
  • Elixir: Phoenix
  • Gleam: Gleam (Wisp)

  For languages without local runtimes on my machine—Haskell, Elixir, Gleam, Scala, Java, Kotlin—we created Docker Compose configurations with both an app service and a dev service for interactive development.

  How Beads Made This Possible

  We used beads (a lightweight git-native issue tracker) to manage the work. The structure was simple:

  • 40 total issues created
  • 36 closed in one session
  • 5 Docker setup tasks marked as P2 priority (these blocked dependent fixtures)
  • 31 fixture tasks at P3 priority
  • 4 remaining for future work

  The dependency tracking was key. Docker environments had to be ready before their fixtures could be worked on, and beads handled that automatically.

  When I’d finish a Docker setup task, the blocked fixture tasks became available.

  Claude Code agents worked through the fixture implementations in parallel where possible.

  The combination of clear task definitions, dependency management, and AI-assisted coding meant we weren’t context-switching between “what do I need to do next?” and “how do I implement this?”

  The Numbers

  Metric	Value
  Total Issues	40
  Closed	36
  Avg Lead Time	0.9 hours
  New GitHub Repos	31
  Languages Covered	15

  That average lead time of under an hour per framework includes everything: creating the repo, implementing the endpoints, testing, and pushing.

  What’s Left

  Four tasks queued for follow-up sessions:

  1. Drift detection - Compare generated specs against expected output
  2. Configurable report formats - JSON, HTML, and log output options
  3. CLAUDE.md files - Development instructions for each fixture
  4. Claude agents - Framework-specific coding assistants

  The Takeaway

  Doing this today, was like having a super power. “I need to test across 36 frameworks” and actually having those test fixtures ready, but with agents and Opus 4.5 and beads, BAM done!

  Beads gave us the structure to track dependencies and progress.

  Claude Code agents handled the repetitive-but-different implementation work across languages and frameworks.

  The combination let us focus on the interesting problems instead of the mechanical ones.

  All 36 repos are live at github.com/api2spec with the api2spec-fixture-* naming convention.

  Have you tried this approach yet?

  Jan 13, 2026 / DevOps / Open-source / Testing / Ai-tools / Claude-code

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