BitBucket Reviews

Temporal Reviews

BitBucket mentions (81)

• GitHub, Demystified

  One last source of confusion worth clearing up. Git is the version control system itself, the underlying technology that does the change-tracking. GitHub is one popular place to host projects that use Git, and it is not the only one. GitLab and Bitbucket do much the same job. A beginner does not need to evaluate all three. Picking the one a tutorial or a friend already uses is a fine way to start because... - Source: dev.to / about 1 month ago

• Take control of your job with GitLens Launchpad

  While browsing the web, I came across a feature of GitKraken called Launchpad. This feature enables us to get a big-picture view of all issues and PRs where we are the creator or a follower. If you don’t know GitKraken, it is a Git client with an awesome UI for managing your repositories. You can use it as a desktop app, website, editor extension (GitLens), or the CLI. They have also released an MCP server in the... - Source: dev.to / 7 months ago

• Integrating Bitbucket MCP with Cursor: A Practical Guide for Developers

  While Cursor supports bugbot for GitHub PR reviews, there’s nothing similar out-of-the-box for bitbucket users. Setting up Bitbucket MCP with Cursor changed that for me—and made my dev life a lot smoother. - Source: dev.to / 12 months ago

• GitHub Projects My Way

  I am using GitHub for both personal and work projects. In the past, I used BitBucket, and at some point I considered using GitLab, too. However, the popularity of GitHub and its ecosystem made it hard to ignore. I even use GitHub to follow trends in my profession. - Source: dev.to / about 1 year ago

• Enhancing Open Source Visibility with License-Token

  Facilitated Collaboration and Funding: With easier identification comes better connectivity. Contributors, partners, and funders can more readily find projects that resonate with their interests and values. Moreover, platforms such as GitHub, GitLab, and Bitbucket are increasingly interested in integrating standardized licensing solutions like License-Token, paving the way for broader adoption and collaborative... - Source: dev.to / over 1 year ago

Temporal mentions (15)

• Compiler as Custodian

  Two specific moves stand out in Duncan's account. The first is durable execution, via Temporal — Mercury replaced fragile cron-and-database state machines with workflow code whose failure semantics are platform-handled (replay, retry, timeout, cancellation). Mercury open-sourced its hs-temporal-sdk, which wraps Temporal's official Rust Core SDK via FFI and provides a Haskell-native API. The dovetail with Haskell's... - Source: dev.to / 16 days ago

• How we turned our workflow editor into a real SDK

  We picked Temporal as the first reference engine on purpose. Temporal has the strictest execution model we know of – a V8 sandbox, determinism constraints, replay-driven recovery. If our port contract holds up against that, easier engines – an in-memory test double, a BullMQ queue, or JSON-first platforms like Inngest or Restate – plug in through the same two interfaces. We're shipping Temporal first; the rest is... - Source: dev.to / about 1 month ago

• Three days debugging a missing trace

  The trick is to find whatever metadata channel the queue already gives you and use that and thankfully, almost every mature queue has one (probably because of this scenario). SQS has message attributes, Temporal has context propagators built into the SDK, and Hatchet (which we use to run our workflows) has a metadata field called additionalMetadata. - Source: dev.to / 3 months ago

• Best ChatGPT Alternatives in 2026: Evaluated on Automation, Persistence, and Data Ownership

  A typical production stack for teams using Claude or Gemini as the reasoning layer includes an LLM provider API, an orchestration layer (n8n, Temporal, or a custom Python service), application infrastructure (a server running the orchestration code), and a data layer (a database for storing results). Each boundary introduces a failure point. When the LLM provider changes its rate limits, as OpenAI did repeatedly... - Source: dev.to / 3 months ago

• 50 Lines of TypeScript to Automate Any Website with AI

  The core is a browserclaw agent loop wrapped in a Temporal workflow. The AI navigates to your provider's payment page, identifies form fields from the snapshot, fills in your payment details, and submits. Every successful payment generates a "biller skill" — a playbook that makes subsequent payments to the same provider faster and more reliable. - Source: dev.to / 4 months ago