LockdownThoughts

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Uses of AI tools

Each of these systems—ChatGPT (OpenAI), Gemini (Google), Claude (Anthropic), and Grok (xAI)—has slightly different strengths based on training focus, integrations, and design philosophy. None is universally “best”; each tends to perform better for certain types of work. Tool Strongest Uses Why It’s Good at That Typical Limitations ChatGPT Programming, technical explanations, structured writing, workflows, tutoring Strong reasoning, good coding ability, handles complex multi-step tasks well Not deeply integrated with web ecosystem tools by default Gemini Research, Google ecosystem tasks, document summarization, multimodal work (docs/images/video) Tight integration with Google Search, Docs, Gmail, Drive; strong multimodal capabilities Sometimes less consistent with complex logic or coding Claude Long documents, policy writing, analysis, summarization, careful reasoning Very large context windows; strong at reading, comparing, and rewriting large texts Coding and technical problem-solving slightly weaker than top coding-focused models Grok Real‑time information, social media context, current events, conversational style Tight integration with X (Twitter) data for up-to-date discussions Less optimized for long documents or structured professional workflows

Practical “Best Tool by Task”

Task Best Choice Reason Software development / debuggingChatGPT Strong code generation and reasoning Research with latest informationGemini or Grok Access to recent web/social data Analyzing very long reports or PDFsClaude Extremely large context window Writing policies, reports, proposalsClaude / ChatGPT Strong reasoning and writing clarity Working inside Google tools (Docs, Gmail, Sheets)Gemini Native Google integration Brainstorming and ideationChatGPT / Claude Strong structured thinking Understanding trending social media topicsGrok Direct connection to X data Learning concepts / tutoringChatGPT Step-by-step explanations

A Simple Way to Think About Them

ChatGPT → best generalist problem solver

Gemini → best Google-integrated research assistant

Claude → best document analyst and writer

Grok → best real‑time social and news assistant

Common Professional Uses Across All

Writing and editing content

Programming help

Data analysis explanations

Summarizing documents

Brainstorming ideas

Learning new topics

The differences mostly appear when tasks involve long documents, coding complexity, real-time information, or tool integrations.

Compare the coding performance of ChatGPT, Gemini, Claude and Grok with examples. Show a practical workflow using multiple AI tools together for research and report writing. Explain which AI tools companies typically allow or restrict for enterprise security reasons. List situations where Claude outperforms ChatGPT and vice versa.

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Determine if an html is referred in multiple screens in Angular

determine html file name

2. determine the ts file that references it like this (in red)

3. determine which html files reference the selector (in green)

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mvn build ok in cmd line, but running in intelliJ fails

Open the parent pom.xml

Then:

Open Maven tool window

Click Reload All Maven Projects

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IntelliJ reset project setup

Delete the .idea folder and re-open (safe reset)

If the project structure was corrupted (common when switching machines or importing modules incorrectly):

Close IntelliJ

Delete: • the .idea folder • any *.iml files

Reopen the project → IntelliJ will rebuild the correct layout

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Create runnable jar from intellij

1. Configure a runnable JAR artifact

Open Project Structure:

File → Project Structure… (or Ctrl+Alt+Shift+S on Windows/Linux).

Go to Artifacts (left side).

Click the + button → JAR → From modules with dependencies….

In the dialog:

Module: select your module (e.g. SimpleJarDemo).

Main Class: click the ... button, choose your Main class.

Option Include in project build can stay checked if you want.

Click OK.

IntelliJ will create an artifact like:

Name: SimpleJarDemo:jar

Output directory: something like out/artifacts/SimpleJarDemo_jar.

By default it will use the “extract to the target JAR” layout, which is fine for a simple app (your compiled classes + any dependencies inside one JAR).

2. Build the JAR

Go to the main menu: Build → Build Artifacts….

In the popup, select your artifact (e.g. SimpleJarDemo:jar) → choose Build.

IntelliJ will compile and create the JAR in the artifact output directory, e.g.:<project-root>\out\artifacts\SimpleJarDemo_jar\SimpleJarDemo.jar

(You can see the exact path at the top of the Artifacts configuration page.)

3. Run the JAR from the command line

Open a terminal (Command Prompt, PowerShell, or shell):

bashCopy codecd <project-root>\out\artifacts\SimpleJarDemo_jar java -jar SimpleJarDemo.jar

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determine java version to use for cloned java project

check pom.xml

<maven.compiler.source>11</maven.compiler.source> <maven.compiler.target>11</maven.compiler.target>

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how to check url of deployed war in jbos

format: http://localhost:<port>/<context>

If your WAR file is named myapp.war and WildFly is running on port 8080, the URL would be http://localhost:8080/myapp

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port used by deployed war in jboss/wildfly

check server logs for "Undertow HTTP listener default listening on 0.0.0.0:8080"

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maven dependency tree

mvn dependency:tree -Dverbose > dep_tree.txt

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Debug mode - Jboss/Wildfly

Debugging mode

You can debug the code using your IDE with running Wildfly.

Run <wildfly>\bin\standalone-debug.bat. In the IDE set configuration of debug mode: select Remote JVM Debug, host - localhost, Port - 8787. Run the debug in IDE.

Now you can set breakpoints in the IDE.

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mvn build issues

for PKIX error, use : mvn -Dmaven.wagon.http.ssl.insecure=true -Dmaven.wagon.http.ssl.allowall=true clean install. No need to do the next steps.

for Unauthorized error, need to go to "Access user token" in repo. And then copy the "user token name code" and "user token pass code".

After #2, encrypt user token name code via "mvn --encrypt-password"

After #3, in .m2/settings.xml, apply the encrypted password and the "user token name code" in credentials fields. Include the opening { and closing } in the encrypted password

Escape all occurrences of '{' or '}' WITHIN the passwords by prefixing it with '\'

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Explain

@OneToOne(mappedBy = "demographicData", fetch = FetchType.LAZY, optional = false)

This is a JPA (Java Persistence API) annotation used to define a one-to-one relationship between two entity classes in Java, typically for ORM (Object-Relational Mapping) with databases.

Key Elements Explained

Attribute Meaning @OneToOne Declares a one-to-one relationship between two entities. mappedBy = "demographicData" Indicates this side is the inverse (non-owning) side of the relationship. The owning side is the other entity’s field named demographicData. fetch = FetchType.LAZY The related entity is loaded on demand (not immediately when the parent is loaded). optional = false The relationship is mandatory; the associated entity must exist (cannot be null).

Example Context

Suppose you have two entities: Person and DemographicData. If Person has a field:@OneToOne(mappedBy = "person", fetch = FetchType.LAZY, optional = false) private DemographicData demographicData;

And DemographicData has:@OneToOne @JoinColumn(name = "person_id") private Person person;

The mappedBy attribute tells JPA that the DemographicData entity owns the relationship (it has the foreign key).

fetch = FetchType.LAZY means demographicData is only loaded when accessed.

optional = false means every Person must have a DemographicData.

Tip

Use mappedBy to avoid duplicate foreign keys and clarify which entity manages the relationship.

LAZY fetching can improve performance but may cause LazyInitializationException if not handled properly.

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How to determine versions of Angular, Node.js, and npm you should install to work on an existing Angular project

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Switch angular ng version

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Copy blob from one db into another db

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How to check angular version of an existing angular app

check package.json

look for @angular/core or @angular/cli

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Flowable 6.7.2 editor

download version 6.7.2 https://github.com/flowable/flowable-engine/releases/tag/flowable-6.7.2

unzip and go to wars folder and confirm flowable-ui.war is present

run in cmd prompt > java -jar flowable-ui.war

for specific port > java -Dserver.port=8888 -jar flowable-ui.war

check startup logs success and port (usually 8080 unless specific)

access ui in browser http://localhost:8080/flowable-ui

user/pwd is admin/test

reference https://medium.com/@prawin609/getting-started-with-flowable-installation-and-ui-access-a225e032f776