todo-or-die – TODOs you cannot forget!

This page summarizes the projects mentioned and recommended in the original post on news.ycombinator.com

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  • todo-or-die

    TODOs you cannot forget!

  • SIT

    Serverless (offline-first, merge-friendly) Information Tracker

    I want the opposite - tickets-as-code part of the git repo. Something like SIT[1]. Fossil has it, but today's standard DVCS is git.

    There are 2 trends here:

    1. Everything-as-a-code stored in the git repo in a text format, close to the actual source code. If you store documention-as-a-code, diagrams-as-a-code, IaaC, tests-as-a-code, loadtesting-as-a-code, etc. - then why not issues/tickets as code also?

    2. Reduce number of tools/service you use in order to eliminate impedance mismatch and simplify workflows, and remove barriers to collaboration. For example if you standardize on Github, then you can use Guthub Issues, Projects, Packages, Actions, Codespaces, etc. And most developers are already having Github a/c.

    [1] https://github.com/sit-fyi/sit

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

  • toodles

    Project management directly from the TODOs in your codebase

    This reminded me of toodles[0], a nice project you can use to visualize TODO comments as issues. I didn't have the chance to try it, but I'm looking forward it for my next project

    [0] https://github.com/aviaviavi/toodles

  • todo_or_die

    Write TODOs in code that ensure you actually do them

  • tax

    CLI Task List Manager

    I made a prompt todo reminder that could be nicely completed by your project! https://github.com/netgusto/tax

    Also, reminds me of the blockchain oracle systems and smart contracts.

    Cool idea, neat project!

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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