Anki for Developers and Admins: How to Learn Technology Faster and More Effectively?

MarGib August 24, 2026

🌐 🇵🇱 Polski · 🇬🇧 EN

Learning technology requires not just understanding, but also the long-term retention of hundreds of commands, syntax rules, and concepts. Anki, a tool based on scientifically proven methods, can be the key to efficiency. How can you use it in practice while avoiding common pitfalls?

Programista uczący się technologii z fiszek Anki na ekranie komputera — Learning technology with Anki – flashcards, code, and progress on one screen

Why does Anki work better than notes or video courses?

Traditional learning methods, such as taking notes or watching video courses, often lead to an illusion of competence. We feel like we understand the material, but when it comes to practical application, our memory fails us. Anki eliminates this problem through two key mechanisms: spaced repetition and active recall.

Science-backed learning

Cognitive psychology research clearly indicates that spaced repetition is one of the most effective memorization techniques. The Anki algorithm, based on the SuperMemo system developed by Piotr Woźniak, optimizes intervals between reviews based on individual user performance. In practice, this means that more difficult concepts are reviewed more frequently, while easier ones are reviewed less often – saving time and increasing efficiency.

Active recall is another pillar of Anki's effectiveness. Instead of passively reading notes, we answer questions, which forces the brain to actively retrieve information from memory. A study published in Science (2010) showed that this method increases knowledge retention by up to 50% compared to traditional techniques.

In the context of learning technology, where quick access to knowledge is essential (e.g., terminal commands, programming language syntax), Anki performs exceptionally well. For example, a 2018 study ("Using Spaced Repetition to Teach Java") showed that students using Anki achieved better test results than the control group.

Anki vs. notes vs. video courses

Notes, while useful, often lead to superficial knowledge acquisition. Video courses, on the other hand, can provide a false sense of understanding – we see someone else solve a problem, but we aren't necessarily able to do it ourselves. Anki forces active engagement, which translates into more durable memorization.

Of course, Anki won't replace hands-on practice – but it can be an excellent supplement. When combined with projects or platforms such as Linux server automation or solving LeetCode problems, it becomes an invaluable tool.

How to create effective flashcards for learning technology?

Not all flashcards are equally effective. When learning technology, it is crucial to adapt the format to the type of knowledge – whether it's programming language syntax, terminal commands, or abstract AI concepts.

Flashcard formats and when to use them

Cloze deletion flashcards: Perfect for learning syntax, e.g., Linux commands or programming language constructs. Example:
```
Przód: "Aby wyświetlić ukryte pliki w Linuxie, użyj komendy {{c1::ls -a}}."
```
This mechanism makes it easy to remember both the command and its options.

Code flashcards: Using add-ons like Syntax Highlighting for Code allows for clear code formatting. Example:

Przód: "Jak napisać pętlę for w Pythonie iterującą po liście?"
Tył: for item in lista:
    print(item)

Image/diagram flashcards: Useful for learning system architecture or algorithms. The Image Occlusion Enhanced add-on allows you to hide parts of diagrams, which facilitates learning.
Video flashcards: Short clips demonstrating, for example, how a command works in the terminal can be helpful, although they require more disk space.

Templates and add-ons useful for learning technology

Anki offers many tools that facilitate the creation and organization of flashcards:

Anki-Connect: Integration with code editors (e.g., VS Code) allows for the automatic creation of flashcards from code comments.
CrowdAnki: Exporting and importing decks in JSON format, which makes it easier to share flashcards within developer communities.
Review Heatmap: Visualization of learning progress, which motivates regular reviews.

Common mistakes and how to avoid them

Creating flashcards is an art – it's easy to make mistakes that reduce learning effectiveness:

Answers that are too long: Flashcards should be concise. Example of a bad flashcard:
```
Przód: "Co to jest Docker?"
Tył: Długi akapit o historii, zastosowaniach i architekturze.
```
A better solution: split it into several flashcards (definition, use cases, commands).
Questions that are too general: Avoid questions like "What is AI?". Better: "What are the three main types of machine learning?".

Lack of examples: For Linux commands, always add a usage example, e.g.:

Przód: "Jak zmienić uprawnienia pliku w Linuxie?"
Tył: "chmod u+x plik.sh (nadaje uprawnienia do wykonywania właścicielowi)."

How to adapt the Anki algorithm for learning technology?

The default Anki algorithm (SM-2) may not always work well for learning technology, where knowledge is often hierarchical or requires practical application. Here is how to optimize it:

Modifying review intervals

For more difficult concepts (e.g., advanced algorithms), it is worth adjusting the review intervals:

In deck settings (Deck Options → New Cards → Steps), add additional steps, e.g., "1 10 1440" (1 minute, 10 minutes, 1 day).
Use the "Again" (1) and "Hard" (2) ratings more frequently for difficult flashcards to shorten the intervals.

Combining Anki with practice

Anki works best when combined with hands-on coding. Here are a few proven methods:

"Anki + Projects" method: Use flashcards as a checklist while coding. Example:

Fiszka: "Jak zaimplementować algorytm sortowania bąbelkowego w Pythonie?"
Po zapamiętaniu: implementacja algorytmu w edytorze i testowanie na różnych danych.

Anki + LeetCode: Create flashcards with solutions to LeetCode problems and review them before coding sessions.

Two-way flashcards: For concepts that require understanding in both directions (e.g., a Linux command and its description). Example:

Przód: "Komenda chmod 755 plik"
Tył: "Nadaje właścicielowi pełne uprawnienia (7), a grupie i innym użytkownikom uprawnienia do odczytu i wykonywania (5)."

How to measure progress in learning technology?

Anki offers several built-in metrics that help track learning efficiency:

Retention: The percentage of flashcards remembered after the first review (goal: >90%). Available in Stats → Retention.
Response time: The average time needed to answer a flashcard. For technical concepts, the goal is <5 seconds.
Number of learned flashcards: Tracking the number of flashcards in the "Mature" state (interval >21 days).

Additionally, it is worth using add-ons such as ankistats or Progress Graphs, which offer advanced charts and statistical analysis.

Anki's limitations and how to compensate for them

Anki is a powerful tool, but it has its limitations – especially in the context of learning technology:

When might Anki fail?

Lack of practical application: Anki is great for memorizing facts, but it doesn't teach practical skills (e.g., debugging, system design). Solution: combine Anki with practical projects.
Difficulties with hierarchical concepts: Anki does not handle knowledge requiring an understanding of dependencies well (e.g., distributed systems architecture). Solution: use mind maps alongside Anki.
Monotony: Reviewing flashcards can be boring. Solution: gamification (e.g., the Anki Habitica add-on) or using community decks.

Alternative learning methods

Anki is not the only tool – it is worth combining it with other methods:

Building projects: Learning by doing, e.g., creating your own applications or analyzing data. Platforms like The Odin Project offer project-based courses.
Pair programming: Learning in pairs allows for knowledge exchange and immediate feedback.
Interactive courses: Platforms like Codecademy or freecodecamp combine theory with practice.

Summary: Anki as part of a larger learning system

Anki is a tool that can significantly accelerate learning technology – but only if used consciously. Key factors include:

Creating concise, specific flashcards.
Adjusting review intervals to the difficulty of the material.
Combining Anki with practice (projects, coding platforms).
Tracking progress and adjusting your strategy.

Remember that Anki is not a magic solution – it is a tool that requires consistency and commitment. When combined with other learning methods, however, it can become the key to mastering even the most complex technologies.

"Anki won't replace practice, but it can make practice more effective." – Michael Nielsen, AI researcher