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AI Jobs and Career
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- Full Stack Engineer [$150K-$220K]
- Software Engineer, Tooling & AI Workflow, Contract [$90/hour]
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| Job Title | Status | Pay |
|---|---|---|
| Full-Stack Engineer | Strong match, Full-time | $150K - $220K / year |
| Developer Experience and Productivity Engineer | Pre-qualified, Full-time | $160K - $300K / year |
| Software Engineer - Tooling & AI Workflows (Contract) | Contract | $90 / hour |
| DevOps Engineer (India) | Full-time | $20K - $50K / year |
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What is the single most influential book every Programmers should read
There are a lot of books that can be influential to programmers. But, what is the one book that every programmer should read? This is a question that has been asked by many, and it is still up for debate. However, there are some great contenders for this title. In this blog post, we will discuss three possible books that could be called the most influential book for programmers. So, what are you waiting for? Keep reading to find out more!
- Bjarne Stroustrup – The C++ Programming Language,
- Brian W. Kernighan, Rob Pike – The Practice of Programming,
- Donald Knuth – The Art of Computer Programming,
- Ellen Ullman – Close to the Machine,
- Ellis Horowitz – Fundamentals of Computer Algorithms,
- Eric Raymond – The Art of Unix Programming,
- Gerald M. Weinberg – The Psychology of Computer Programming,
- James Gosling – The Java Programming Language,
- Joel Spolsky – The Best Software Writing I,
- Keith Curtis – After the Software Wars,
- Richard M. Stallman – Free Software, Free Society,
- Richard P. Gabriel – Patterns of Software,
- Richard P. Gabriel – Innovation Happens Elsewhere,
- Code Complete (2nd edition) by Steve McConnell,
- The Pragmatic Programmer,
- Structure and Interpretation of Computer Programs,
- The C Programming Language by Kernighan and Ritchie,
- Introduction to Algorithms by Cormen, Leiserson, Rivest & Stein,
- Design Patterns by the Gang of Four,
- Refactoring: Improving the Design of Existing Code,
- The Mythical Man Month,
- The Art of Computer Programming by Donald Knuth,
- Compilers: Principles, Techniques and Tools by Alfred V. Aho, Ravi Sethi and Jeffrey D. Ullman,
- Gödel, Escher, Bach by Douglas Hofstadter,
- Clean Code: A Handbook of Agile Software Craftsmanship by Robert C. Martin,
- Effective C++,
- More Effective C++,
- CODE by Charles Petzold,
- Programming Pearls by Jon Bentley,
- Working Effectively with Legacy Code by Michael C. Feathers,
- Peopleware by Demarco and Lister
- Coders at Work by Peter Seibel,
- Surely You’re Joking, Mr. Feynman!,
- Effective Java 2nd edition,
- Patterns of Enterprise Application Architecture by Martin Fowler,
- The Little Schemer,
- The Seasoned Schemer,
- Why’s (Poignant) Guide to Ruby,
- The Inmates Are Running The Asylum: Why High Tech Products Drive Us Crazy and How to Restore the Sanity,
- The Art of Unix Programming,
- Test-Driven Development: By Example by Kent Beck,
- Practices of an Agile Developer,
- Don’t Make Me Think,
- Agile Software Development, Principles, Patterns, and Practices by Robert C. Martin,
- Domain Driven Designs by Eric Evans,
- The Design of Everyday Things by Donald Norman,
- Modern C++ Design by Andrei Alexandrescu,
- Best Software Writing I by Joel Spolsky,
- The Practice of Programming by Kernighan and Pike,
- Pragmatic Thinking and Learning: Refactor Your Wetware by Andy Hunt,
- Software Estimation: Demystifying the Black Art by Steve McConnel,
- The Passionate Programmer (My Job Went To India) by Chad Fowler,
- Hackers: Heroes of the Computer Revolution,
- Algorithms + Data Structures = Programs,
- Writing Solid Code,
- JavaScript – The Good Parts,
- Getting Real by 37 Signals,
- Foundations of Programming by Karl Seguin,
- Computer Graphics: Principles and Practice in C (2nd Edition),
- Thinking in Java by Bruce Eckel,
- The Elements of Computing Systems,
- Refactoring to Patterns by Joshua Kerievsky,
- Modern Operating Systems by Andrew S. Tanenbaum,
- The Annotated Turing,
- Things That Make Us Smart by Donald Norman,
- The Timeless Way of Building by Christopher Alexander,
- The Deadline: A Novel About Project Management by Tom DeMarco,
- The C++ Programming Language (3rd edition) by Stroustrup,
- Patterns of Enterprise Application Architecture,
- Computer Systems – A Programmer’s Perspective,
- Agile Principles, Patterns, and Practices in C# by Robert C. Martin,
- Growing Object-Oriented Software, Guided by Tests,
- Framework Design Guidelines by Brad Abrams,
- Object Thinking by Dr. David West,
- Advanced Programming in the UNIX Environment by W. Richard Stevens,
- Hackers and Painters: Big Ideas from the Computer Age,
- The Soul of a New Machine by Tracy Kidder,
- CLR via C# by Jeffrey Richter,
- The Timeless Way of Building by Christopher Alexander,
- Design Patterns in C# by Steve Metsker,
- Alice in Wonderland by Lewis Carol,
- Zen and the Art of Motorcycle Maintenance by Robert M. Pirsig,
- About Face – The Essentials of Interaction Design,
- Here Comes Everybody: The Power of Organizing Without Organizations by Clay Shirky,
- The Tao of Programming,
- Computational Beauty of Nature,
- Writing Solid Code by Steve Maguire,
- Philip and Alex’s Guide to Web Publishing,
- Object-Oriented Analysis and Design with Applications by Grady Booch,
- Effective Java by Joshua Bloch,
- Computability by N. J. Cutland,
- Masterminds of Programming,
- The Tao Te Ching,
- The Productive Programmer,
- The Art of Deception by Kevin Mitnick,
- The Career Programmer: Guerilla Tactics for an Imperfect World by Christopher Duncan,
- Paradigms of Artificial Intelligence Programming: Case studies in Common Lisp,
- Masters of Doom,
- Pragmatic Unit Testing in C# with NUnit by Andy Hunt and Dave Thomas with Matt Hargett,
- How To Solve It by George Polya,
- The Alchemist by Paulo Coelho,
- Smalltalk-80: The Language and its Implementation,
- Writing Secure Code (2nd Edition) by Michael Howard,
- Introduction to Functional Programming by Philip Wadler and Richard Bird,
- No Bugs! by David Thielen,
- Rework by Jason Freid and DHH,
- JUnit in Action
Source: Wikipedia

What are the concepts every Java C# C++ Python Rust programmer must know?
Ok…I think this is one of the most important questions to answer. According to the my personal experience as a Programmer, I would say you must learn following 5 universal core concepts of programming to become a successful Java programmer.
(1) Mastering the fundamentals of Java programming Language – This is the most important skill that you must learn to become successful java programmer. You must master the fundamentals of the language, specially the areas like OOP, Collections, Generics, Concurrency, I/O, Stings, Exception handling, Inner Classes and JVM architecture.
Recommended readings are OCA Java SE 8 Programmer by by Kathy Sierra and Bert Bates (First read Head First Java if you are a new comer ) and Effective Java by Joshua Bloch.
(2) Data Structures and Algorithms – Programming languages are basically just a tool to solve problems. Problems generally has data to process on to make some decisions and we have to build a procedure to solve that specific problem domain. In any real life complexity of the problem domain and the data we have to handle would be very large. That’s why it is essential to knowing basic data structures like Arrays, Linked Lists, Stacks, Queues, Trees, Heap, Dictionaries ,Hash Tables and Graphs and also basic algorithms like Searching, Sorting, Hashing, Graph algorithms, Greedy algorithms and Dynamic Programming.
Recommended readings are Data Structures & Algorithms in Java by Robert Lafore (Beginner) , Algorithms Robert Sedgewick (intermediate) and Introduction to Algorithms-MIT press by CLRS (Advanced).
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(3) Design Patterns – Design patterns are general reusable solution to a commonly occurring problem within a given context in software design and they are absolutely crucial as hard core Java Programmer. If you don’t use design patterns you will write much more code, it will be buggy and hard to understand and refactor, not to mention untestable and they are really great way for communicating your intent very quickly with other programmers.
Recommended readings are Head First Design Patterns Elisabeth Freeman and Kathy Sierra and Design Patterns: Elements of Reusable by Gang of four.
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(4) Programming Best Practices – Programming is not only about learning and writing code. Code readability is a universal subject in the world of computer programming. It helps standardize products and help reduce future maintenance cost. Best practices helps you, as a programmer to think differently and improves problem solving attitude within you. A simple program can be written in many ways if given to multiple developers. Thus the need to best practices come into picture and every programmer must aware about these things.
Recommended readings are Clean Code by Robert Cecil Martin and Code Complete by Steve McConnell.
AI Jobs and Career
And before we wrap up today's AI news, I wanted to share an exciting opportunity for those of you looking to advance your careers in the AI space. You know how rapidly the landscape is evolving, and finding the right fit can be a challenge. That's why I'm excited about Mercor – they're a platform specifically designed to connect top-tier AI talent with leading companies. Whether you're a data scientist, machine learning engineer, or something else entirely, Mercor can help you find your next big role. If you're ready to take the next step in your AI career, check them out through my referral link: https://work.mercor.com/?referralCode=82d5f4e3-e1a3-4064-963f-c197bb2c8db1. It's a fantastic resource, and I encourage you to explore the opportunities they have available.
(5) Testing and Debugging (T&D) – As you know about the writing the code for specific problem domain, you have to learn how to test that code snippet and debug it when it is needed. Some programmers skip their unit testing or other testing methodology part and leave it to QA guys. That will lead to delivering 80% bugs hiding in your code to the QA team and reduce the productivity and risking and pushing your project boundaries to failure. When a miss behavior or bug occurred within your code when the testing phase. It is essential to know about the debugging techniques to identify that bug and its root cause.
Recommended readings are Debugging by David Agans and A Friendly Introduction to Software Testing by Bill Laboon.
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I hope these instructions will help you to become a successful Java Programmer. Here i am explain only the universal core concepts that you must learn as successful programmer. I am not mentioning any technologies that Java programmer must know such as Spring, Hibernate, Micro-Servicers and Build tools, because that can be change according to the problem domain or environment that you are currently working on…..Happy Coding!
Summary: There’s no doubt that books have had a profound influence on society and the advancement of human knowledge. But which book is the most influential for programmers? Some might say it’s The Art of Computer Programming, or The Pragmatic Programmer. But I would argue that the most influential book for programmers is CODE: The Hidden Language of Computer Hardware and Software. In CODE, author Charles Petzold takes you on a journey from the basics of computer hardware to the intricate workings of software. Along the way, you learn how to write code in Assembly language, and gain an understanding of how computers work at a fundamental level. If you’re serious about becoming a programmer, then CODE should be at the top of your reading list!
Programming Breaking News
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- Anthropic’s engineer just told you to stop using markdown. Here’s what’s actually going on.by <devtips/> (Programming on Medium) on June 10, 2026 at 5:54 pm
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- C3 0.8.1 released: Raiding the stdlib for bugsby /u/Nuoji (programming) on June 10, 2026 at 5:34 pm
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- Building an AI-Powered Crime Risk Intelligence System (AlgoReaperX)by Aayush Pratap Singh (Python on Medium) on June 10, 2026 at 4:54 pm
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- I Ran 1 Million Queries Through 5 Python ORMs — One Made Me Want to Quit Coding (2026)by Ramesh Kannan s (Python on Medium) on June 10, 2026 at 4:39 pm
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- Designing a Rate Limiter From Scratch: Token Bucket vs Leaky Bucket vs Sliding Window Log, With…by Coders Stop (Coding on Medium) on June 10, 2026 at 4:34 pm
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- Claude Opus 4.8by Sohail Saifi (Coding on Medium) on June 10, 2026 at 4:32 pm
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- Coding in the Age of AIby Milind Nair (Coding on Medium) on June 10, 2026 at 4:30 pm
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- I Built a Trading Bot That Doesn’t Just Calculate — It Reasons, Remembers, and Learns From Its…by Donqrakko (Python on Medium) on June 10, 2026 at 4:23 pm
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- Apple Just Turned Its AI Framework Into a Switchboard — and Quietly Invited Claude Inby PIXIPACE (Coding on Medium) on June 10, 2026 at 4:09 pm
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- Building an LLM From Scratch: The Mechanism That Changed AI Forever, Implemented From Zeroby Vinayak (Python on Medium) on June 10, 2026 at 4:01 pm
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- My Internship Journey with Oasis Infobyte (OIB-SIP May P1 2026)by Shashwath S Kunder (Python on Medium) on June 10, 2026 at 3:51 pm
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- MCP Goes Stateless: What the 2026–07–28 Spec Release Candidate Means for Your Serversby jsmanifest (Coding on Medium) on June 10, 2026 at 3:36 pm
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- I Built an AI Email Agent: Here’s What Nobody Told Meby Kartik (Python on Medium) on June 10, 2026 at 3:36 pm
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- Map Matching: The Viterbi Snapperby Or Nachmias (Python on Medium) on June 10, 2026 at 3:28 pm
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- Vibe Coding Has a Security Problemby Ashanvi (Coding on Medium) on June 10, 2026 at 2:48 pm
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submitted by /u/goto-con [link] [comments]
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- someone actually leaked the Miasma supply chain attack toolkit source code on githubby /u/BattleRemote3157 (programming) on June 9, 2026 at 1:29 pm
we saw that multiple github repos name as Miasma-Open-Source-Release started appearing yesterday which was pushed by a compromised developer accounts. then we pulled the source to dig deeper. And calling it a worm would be very small its kind of a complete supply chain framework you can see which is having ARCHITECTURE.md integration test etc. so it was kind of a product. ARCHITECTURE.md was saying that it requires no C2 infrastructure and not have to deal with takedowns or maintaining infrastructure. it just stolen github PATs is only what is necessary. submitted by /u/BattleRemote3157 [link] [comments]
- How we sync Postgres to the browser: ElectricSQL for rows, Yjs for documentsby /u/jxd-dev (programming) on June 9, 2026 at 12:58 pm
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submitted by /u/Dear-Economics-315 [link] [comments]
- SQLite improving performance with pre-sortby /u/andersmurphy (programming) on June 9, 2026 at 10:01 am
submitted by /u/andersmurphy [link] [comments]
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submitted by /u/BlondieCoder [link] [comments]
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submitted by /u/Local_Ad_6109 [link] [comments]
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submitted by /u/Happycodeine [link] [comments]
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submitted by /u/Adventurous-Salt8514 [link] [comments]
- Why Compiler Engineers Rarely Use Strassen's Algorithm for Fast Matrix Multiplicationsby /u/DataBaeBee (programming) on June 8, 2026 at 2:36 pm
submitted by /u/DataBaeBee [link] [comments]
- Poor Man's Time Machine: Lazy Evaluation in JavaScript and Haskellby /u/sayyadirfanali (programming) on June 8, 2026 at 2:32 pm
submitted by /u/sayyadirfanali [link] [comments]
- Lies We Tell Ourselves About Email Addressesby /u/theghostofm (programming) on June 8, 2026 at 2:17 pm
submitted by /u/theghostofm [link] [comments]
- VS Code Adds 2-Hour Extension Auto-Update Delay to Limit Supply Chain Attacksby /u/CircumspectCapybara (programming) on June 8, 2026 at 1:40 pm
submitted by /u/CircumspectCapybara [link] [comments]
- System Dynamics Course | Chapter 16: Discrete-Time and Sampled-Data System Dynamicsby /u/abolfazl1363 (programming) on June 8, 2026 at 12:36 pm
Used 5 different programming language for this course. GitHub repository link: https://github.com/mohammadijoo/Control_and_Robotics_Tutorials submitted by /u/abolfazl1363 [link] [comments]
- Hot path optimization. When float division beats integer divisionby /u/watman12 (programming) on June 8, 2026 at 12:30 pm
I've started a series of short blog posts about hot path optimizations. This first one covers a counterintuitive optimization: replacing integer division (IDIVQ) with floating-point division (DIVSD). submitted by /u/watman12 [link] [comments]
- Native Elm (the real kind this time) · cekrem.github.ioby /u/cekrem (programming) on June 8, 2026 at 10:45 am
submitted by /u/cekrem [link] [comments]
- Building a spaced repetition system that adapts to user pace in real-time (Kotlin/Compose)by /u/No-Position-7728 (programming) on June 8, 2026 at 4:33 am
I built a flashcard app for interview prep and wanted to share some of the more interesting technical problems I ran into. The app has 1500+ questions across DSA and System Design, and the core challenge was: how do you order cards intelligently without it feeling robotic? Problem 1: Slot Assignment for Spaced Repetition Standard SR (like Anki) just shows the most overdue card next. That works for vocabulary but feels terrible for algorithms because you get 3 Hard questions in a row and want to quit. My approach: generate a target difficulty pattern (Easy, Medium, Easy, Medium, Hard, repeat) based on a 40/40/20 distribution, then assign due cards to matching-difficulty slots. Most-overdue cards get placed first within their tier. Unseen cards fill remaining slots. This means a Hard card that's overdue still lands in a Hard slot, not position 1. You get difficulty variety while still seeing overdue cards at the right time. fun assignSlots(pool: List<Question>, dueCards: List<ProgressEntity>): List<Question> { val pattern = generatePattern(size = pool.size, distribution = "40/40/20") val dueByDifficulty = dueCards.groupBy { it.difficulty } val result = Array<Question?>(pattern.size) { null } // Place due cards in matching slots, most overdue first for ((difficulty, cards) in dueByDifficulty) { val sorted = cards.sortedBy { it.nextReviewDate } val availableSlots = pattern.indices.filter { pattern[it] == difficulty && result[it] == null } sorted.zip(availableSlots).forEach { (card, slot) -> result[slot] = findQuestion(card, pool) } } // Fill remaining with unseen // ... } Problem 2: Re-ranking after every swipe without jank After each swipe, the deck needs to re-rank. But the top visible card (position 0) is already animating into view, so you can't move it. Solution: lock position 0, re-rank positions 1+, then check for constraint violations across the boundary (e.g., if locked card is Hard and new position 1 is also Hard, swap position 1 with the first non-Hard card deeper in the deck). This runs on every swipe so it needs to be fast. For 1000 cards, the greedy scoring + constraint check takes <2ms on a Pixel 6. Problem 3: Encrypting 1500 questions without startup lag The question bank is AES-256-CBC encrypted in the APK (prevents trivial extraction). Decryption of 1.2MB happens on first load. On older devices this took 400ms, which blocked the UI. Moved it to Dispatchers.IO with a loading skeleton. The key is split across 4 byte arrays in the code to make static analysis harder (not bulletproof, but raises the bar above strings on the APK). Problem 4: Two-deck mode switching with shared progress The app has DSA and System Design as separate decks. Both share the same Room database for progress (same ProgressEntity table, IDs just have different prefixes). When switching modes, the current deck state is cached in memory so you can come back to where you left off. The tricky bit: daily goal and streak count swipes from both decks combined, but the ranker operates independently per deck. Problem 5: Animated sketches synced with code Each question can have a multi-step visual (array state changes, graph traversals). Steps are defined as data (JSON with cell states, highlights, pointers) and rendered by a custom Compose canvas. Code lines are highlighted in sync with each step via a codeLines map per step. The renderer handles 6 visualization types (array, tree, linked list, matrix, graph, string) with a single composable that dispatches by type. Stack: Kotlin, Jetpack Compose (Material 3), Room, Firebase, custom spaced repetition + ranking engine. App: https://play.google.com/store/apps/details?id=com.pixelcraftlabs.algoscroll If anyone's interested in the ranking algorithm details or the sketch rendering system, happy to go deeper. submitted by /u/No-Position-7728 [link] [comments]
- Getting silly with C, part &((int*)-8)[3]by /u/f311a (programming) on June 7, 2026 at 3:38 pm
submitted by /u/f311a [link] [comments]
- To my studentsby /u/f311a (programming) on June 7, 2026 at 12:29 pm
submitted by /u/f311a [link] [comments]
- Announcement: We've Updated The Rules, and April Is Finally Overby /u/ChemicalRascal (programming) on May 23, 2026 at 1:54 pm
After temporarily banning LLM-related content over April, and asking you for feedback on that ban, we've decided to bring about an end of the temporary, I-can't-believe-it's-still-April ban on AI-related posts. Replacing the trial rule is a new shiny rule that refers to our new shiny AI policy. In short: Content about AI and LLMs are considered off-topic with the sole exclusion of deeply technical content about implementation. And if you want more detail than that, go read the policy, that's what it's there for. In addition, when writing that rule, I realized the rules weren't listed on the old.reddit.com sidebar, so that's been updated. For those of you who are seeing those rules for the first time, everything there is not new. We've been enforcing those rules as best we can for ages. You can click the link above those to get to the old.reddit rules page, with plenty of info that doesn't exactly read well when crammed into a sidebar. submitted by /u/ChemicalRascal [link] [comments]









































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