Computers are smart. Tell your computer once and it will know it until you tell it to forget it. In sum: Avoid repetition—instead, look at abstraction , automation , and intelligent implementation of code. Would you build a bridge over a small stream in case it becomes a crashing white water river?
Probably not, right? Experimenting and changing things as you go is an easy way to cut down on revision time later. But it is also a surefire way to take your code far in the wrong direction, with no easy way back. Instead, commit your work often and regularly. Continuous testing over the long-term will give you a better understanding of:. Even if you are prone to three-day, coffee-fueled writing sessions, you need to build testing into your workflow.
Proper release procedures and documentation to support the release. Code has been checked in to the software repository with the appropriate change notes. Proper communication has taken place between the development staff and the stakeholder alerting the stakeholder of the release to production.
Monitoring user acceptance once the software is in production. In general, the following capabilities should be present in software development management software: Description — what is the purpose of this iteration. Item type i. Status — in what phase of the life cycle is this iteration. Assigned team or individual Sub-tasks. If this iteration is comprised of several identifiable steps or pieces, the project should be able to be broken down into sub-tasks directly related to the iteration and which must all be complete before the entire iteration can be marked as complete.
Documentation — where is the documentation for this unit of work usually in the form of a link to another repository. Checklist — each unit of work should have the following items that must be completed before the entire iteration or story can be marked as complete: Development complete Documentation complete Unit tested User tested Deployed User acceptance Attachments Time estimates Other related activity comments, notes, conversations, etc.
Location of code in its repository and related pull requests, branches, builds, etc. Ability to link the iteration to another issue. Jira by Atlassian Jira Software is a project management tool that supports any agile methodology, be it scrum, kanban, or your own unique flavor.
From agile boards, backlogs, roadmaps, reports, to integrations, and add-ons you can plan, track, and manage all your agile software development projects from a single tool. Trello also by Atlassian.
Trello is a visual work management tool that empowers teams to ideate, plan, manage, and celebrate their work together in a collaborative, productive, and organized way. Building security into the SDLC does demand time and effort at first.
But resolving issues early in the SDLC becomes a lot cheaper and much faster than waiting until post-development. Ultimately, it cuts down your exposure to security risks. Security vulnerabilities are usually reported differently than quality and functional defects. Time and again, companies maintain the two types of findings—security and quality—in two different locations. Maintaining security and quality findings in a centralized location facilitates teams to treat both issues in an identical manner and with the same importance.
Security findings, particularly ones from automated scanning tools, can be a false positive. It turns challenging, in such situations, to ask developers to review and fix those issues.
One solution is to tune the security tooling over time by analyzing historical findings and application information and applying filters and custom rulesets to report only critical problems. DevSecOps approach encourages and automates security procedures into every phase of the software development life cycle. With DevSecOps, one can implement an agile, cost-effective, and adaptive process for rapid software development.
Unquestionably, this is essential to fast-track vulnerability patching, support software security education, and boost collaboration across cross-departmental teams. Certainly, practicing DevSecOps essentials is a distinguished way to secure your software development pipeline. Dan Levin — President. Dan is a founding member of Liventus and currently serves as the President.
Consider the trade-off when introducing a new dependency. Shared code ownership is the goal; siloed knowledge is bad. At a minimum, this means discussing or documenting design decisions and important implementation decisions. Code review is the worst time to start discussing design decisions as the inertia to make sweeping changes after code has been written is hard to overcome.
Generators rock! Programming is a balancing act, however. Over-engineering onion architecture is as painful to work with as under-designed code. Design Patterns is a classic programming book that every engineer should read.
Fixing or deleting intermittently failing tests is painful, but worth the effort. Generally, particularly in tests, wait for a specific change rather than sleeping for an arbitrary amount of time. Voodoo sleeps are hard to understand and slow down your test suite. Always see your test fail at least once. Put a deliberate bug in and make sure it fails, or run the test before the behavior under test is complete.
And finally, a point for management: Constant feature grind is a terrible way to develop software. Not addressing technical debt slows down development and results in a worse, more buggy product. Thanks to the Ansible team, and especially to Wayne Witzel , for comments and suggestions for improving the principles suggested in this list. Want to break free from the IT processes and complexities holding you back from peak performance? Download this free eBook: Teaching an elephant to dance.
The idea of comments degenerating over time into "lies" is one that I agree with. At one former job, working alongside the esteemed Mr Foord the article author , we were all in the habit of simply referring to all comments as "lies", without forethought or malice. As in "The module has some lies at the top explaining that behaviour. This is like saying that new tires end up being worn out, so drive only on smooth roads and only downhill, so you don't have to use tires.
Lazy developers find excuses for not writing comments. The fact is that there is no such thing as perfectly readable code. What's readable to one person is a complete ball of mud to others. To force someone to read code just as a form of documentation is an irresponsible idea that is inefficient and assumes that only developers of a certain level should be looking at your code.
I don't understand what you are saying in point number 2 - the first sentence, "tests don't need testing" seems to stand in contradiction to point A map without a legend and labels is "readable and self-documenting" but unnecessary torture. Comment the start and end of logic blocks and loops. Comment "returns" with values.
If you don't like comments, a good editor will strip the lies from your eyes. Every software developer should read this article. It can really help them improve their coding habit. These software engineering rules and testing best practices might help save you time and headaches.
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