{"id":4278,"date":"2026-01-05T14:35:09","date_gmt":"2026-01-05T11:35:09","guid":{"rendered":"https:\/\/demensdeum.com\/blog\/2026\/01\/05\/cant-fix\/"},"modified":"2026-01-05T21:33:13","modified_gmt":"2026-01-05T18:33:13","slug":"cant-fix","status":"publish","type":"post","link":"https:\/\/demensdeum.com\/blog\/2026\/01\/05\/cant-fix\/","title":{"rendered":"Why can&#8217;t I fix the bug?"},"content":{"rendered":"<p>You spend hours working on the code, going through hypotheses, adjusting the conditions, but the bug is still reproduced. Sound familiar? This state of frustration is often called &#8220;ghost hunting.&#8221; The program seems to live its own life, ignoring your corrections.<\/p>\n<p><a href=\"https:\/\/demensdeum.com\/art\/cant-fix-by-demens.png\" target=\"_blank\"><img decoding=\"async\" src=\"https:\/\/demensdeum.com\/blog\/wp-content\/uploads\/2026\/01\/cant-fix.jpg\"\/><\/a><\/p>\n<p>One of the most common &#8211; and most annoying &#8211; reasons for this situation is <strong>looking for an error in completely the wrong place in the application.<\/strong><\/p>\n<h2>The trap of \u201cfalse symptoms\u201d<\/h2>\n<p>When we see an error, our attention is drawn to the place where it \u201cshot\u201d. But in complex systems, where a bug occurs (crash or incorrect value) is only the end of a long chain of events. When you try to fix the ending, you are fighting the symptoms, not the disease.<\/p>\n<p>This is where the <strong>flowchart<\/strong> concept comes in.<\/p>\n<h3>How it works in reality<\/h3>\n<p>Of course, <strong>it is not necessary to directly draw (draw) a flowchart on paper every time<\/strong>, but it is important to have it in your head or at hand as an architectural guide. A flowchart allows you to visualize the operation of an application as a tree of outcomes.<\/p>\n<p>Without understanding this structure, the developer is often groping in the dark. Imagine the situation: you edit the logic in one condition branch, while the application (due to a certain set of parameters) goes to a completely different branch that you didn\u2019t even think about.<\/p>\n<blockquote><p>\n<strong>Result:<\/strong> You spend hours on a \u201cperfect\u201d code fix in one part of the algorithm, which, of course, does nothing to fix the problem in another part of the algorithm where it actually fails.\n<\/p><\/blockquote>\n<hr \/>\n<h2>Algorithm for defeating a bug<\/h2>\n<p>To stop beating on a closed door, you need to change your approach to diagnosis:<\/p>\n<ul>\n<li><strong>Find the state in the outcome tree:<\/strong>Before writing code, you need to determine exactly the path that the application has taken. At what point did logic take a wrong turn? What specific state (<strong>State<\/strong>) led to the problem?<\/li>\n<li><strong>Reproduction is 80% of success:<\/strong> This is usually done by testers and automated tests. If the bug is \u201cfloating\u201d, development is involved in the process to jointly search for conditions.<\/li>\n<li><strong>Use as much information as possible:<\/strong> Logs, OS version, device parameters, connection type (Wi-Fi\/5G) and even a specific telecom operator are important for localization.<\/li>\n<\/ul>\n<h3>\u201cPhotograph\u201d of the moment of error<\/h3>\n<p>Ideally, to fix it, you need to get the <strong>full state of the application<\/strong> at the time the bug was reproduced. Interaction logs are also critically important: they show not only the final point, but also the entire user path (what actions preceded the failure). This helps to understand how to recreate a similar state again.<\/p>\n<p><em>Future tip: If you encounter a complex case, add extended debug logging information to this section of code in case the situation happens again.<\/em><\/p>\n<hr \/>\n<h2>The problem of \u201celusive\u201d states in the era of AI<\/h2>\n<p>In modern systems using <strong>LLM (Large Language Models)<\/strong>, classical determinism (\u201cone input, one output\u201d) is often violated. You can pass exactly the same input data, but get a different result.<\/p>\n<p>This happens due to the <strong>non-determinism of modern production systems<\/strong>:<\/p>\n<ul>\n<li><strong>GPU Parallelism:<\/strong> GPU floating point operations are not always associative. Due to parallel execution of threads, the order in which numbers are added may change slightly, which may affect the result.<\/li>\n<li><strong>GPU temperature and throttling:<\/strong> Execution speed and load distribution may depend on the physical state of the hardware. In huge models, these microscopic differences accumulate and can lead to the selection of a different token at the output.<\/li>\n<li><strong>Dynamic batching:<\/strong> In the cloud, your request is combined with others. Different batch sizes change the mathematics of calculations in the kernels.<\/li>\n<\/ul>\n<p>Under such conditions, it becomes almost impossible to reproduce \u201cthat same state\u201d. Only a statistical approach to testing can save you here.<\/p>\n<hr \/>\n<h2>When logic fails: Memory problems<\/h2>\n<p>If you are working with \u201cunsafe\u201d languages \u200b\u200b(<strong>C<\/strong> or <strong>C++<\/strong>), the bug may occur due to <strong>Memory Corruption<\/strong>.<\/p>\n<p>These are the most severe cases: an error in one module can \u201coverwrite\u201d data in another. This leads to completely inexplicable and isolated failures that cannot be traced using normal application logic.<\/p>\n<h3>How to protect yourself at the architectural level?<\/h3>\n<p>To avoid such \u201cmystical\u201d bugs, you should use modern approaches:<\/p>\n<ul>\n<li><strong>Multithreaded programming patterns:<\/strong>Clear synchronization eliminates race conditions.<\/li>\n<li><strong>Thread-safe languages:<\/strong> Tools that guarantee memory safety at compile time:\n<ul>\n<li><strong>Rust:<\/strong> Ownership system eliminates memory errors.<\/li>\n<li><strong>Swift 6 Concurrency:<\/strong>Strong data isolation checks.<\/li>\n<li><strong>Erlang:<\/strong> Complete process isolation through the actor model.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h2>Summary<\/h2>\n<p>Fixing a bug is not about writing new code, but about understanding how the old one works. Remember: you could be wasting time editing a branch that management doesn&#8217;t even touch. Record the state of the system, take into account the factor of AI non-determinism and choose safe tools.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>You spend hours working on the code, going through hypotheses, adjusting the conditions, but the bug is still reproduced. Sound familiar? This state of frustration is often called &#8220;ghost hunting.&#8221; The program seems to live its own life, ignoring your corrections. One of the most common &#8211; and most annoying &#8211; reasons for this situation<a class=\"more-link\" href=\"https:\/\/demensdeum.com\/blog\/2026\/01\/05\/cant-fix\/\">Continue reading <span class=\"screen-reader-text\">&#8220;Why can&#8217;t I fix the bug?&#8221;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[61],"tags":[],"class_list":["post-4278","post","type-post","status-publish","format-standard","hentry","category-techie","entry"],"translation":{"provider":"WPGlobus","version":"3.0.2","language":"en","enabled_languages":["en","ru","zh","de","fr","ja","pt","hi"],"languages":{"en":{"title":true,"content":true,"excerpt":false},"ru":{"title":true,"content":true,"excerpt":false},"zh":{"title":true,"content":true,"excerpt":false},"de":{"title":true,"content":true,"excerpt":false},"fr":{"title":true,"content":true,"excerpt":false},"ja":{"title":true,"content":true,"excerpt":false},"pt":{"title":true,"content":true,"excerpt":false},"hi":{"title":false,"content":false,"excerpt":false}}},"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/demensdeum.com\/blog\/wp-json\/wp\/v2\/posts\/4278","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/demensdeum.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/demensdeum.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/demensdeum.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/demensdeum.com\/blog\/wp-json\/wp\/v2\/comments?post=4278"}],"version-history":[{"count":2,"href":"https:\/\/demensdeum.com\/blog\/wp-json\/wp\/v2\/posts\/4278\/revisions"}],"predecessor-version":[{"id":4281,"href":"https:\/\/demensdeum.com\/blog\/wp-json\/wp\/v2\/posts\/4278\/revisions\/4281"}],"wp:attachment":[{"href":"https:\/\/demensdeum.com\/blog\/wp-json\/wp\/v2\/media?parent=4278"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/demensdeum.com\/blog\/wp-json\/wp\/v2\/categories?post=4278"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/demensdeum.com\/blog\/wp-json\/wp\/v2\/tags?post=4278"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}