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Fishing in Stardew Valley starts the morning after you receive a letter from Willy inviting you to visit his shop on the beach. He gives you a Bamboo Pole for free, and from that point you can cast into any body of water on the map. What you catch depends on four things at once: the location, the season, the weather, and the time of day. Most fish are only available under a specific combination of those conditions, which is why the same spot can produce completely different results in spring rain versus a clear summer afternoon.

Getting Your First Rod and Casting

Willy's letter arrives within your first few days on the farm. Visit his shop on the beach south of town, and he hands over the Bamboo Pole. Equip it from your inventory toolbar, stand facing water, and hold the use button to charge a cast — the longer you hold, the farther the bobber lands. Release to cast.

A few practical notes:

• You need open water in front of you. You cannot cast onto land or into obstacles.
• If the bobber lands in a valid spot, a "HIT!" prompt appears when something bites. Press the use button again during that window to start the minigame.
• If you press too early or too late, the fish escapes and you lose the bait.

The Fishing Minigame

Once you hook a fish, a vertical bar appears with a green box you control and a fish icon that moves up and down. Your job is to keep the green box overlapping the fish icon. A progress bar on the right fills while you're overlapping and drains while you're not. Fill it completely to land the fish; let it empty and the fish gets away.

The fish's movement pattern is the main difficulty signal. Some fish sit still or drift slowly, while others dart up and down erratically. Higher-difficulty fish move faster and change direction more often, which is why the same minigame feels easy for a Carp and brutal for a Legendary fish.

Controls

• Hold the use button to raise the green box.
• Release to let it fall.
• Tap rather than hold for small adjustments when the fish is moving slowly.

What Determines Which Fish You Catch

Every fish has its own set of requirements. The wiki tracks these per fish, but the categories are consistent:

If a fish isn't biting, the most common reason is that one of these conditions is wrong — not that your technique is bad.

Bait, Tackle, and Skill

Your fishing skill levels up as you catch fish, and each level improves your odds. At level 3 you unlock the ability to craft Crab Pots, and at higher levels you gain access to better rods and recipes.

• Bait attaches to a rod and makes fish bite faster. It's consumed on each cast.
• Tackle attaches to rods that have a tackle slot and modifies the minigame — for example, making the green bar larger or slowing the fish.
• Better rods (Fiberglass and Iridium) add slots for bait and tackle and let you cast farther.

Bait and tackle are optional. You can catch fish with a bare Bamboo Pole, just more slowly and with fewer options.

Finding Specific Fish and Tracking Your Collection

The fastest way to check whether a fish is available right now is to look it up on the Stardew Valley Wiki, which lists each fish's season, location, time window, weather requirement, and difficulty. In-game, the Collections tab in your menu shows every fish you've caught and flags the ones you're still missing, so you can use it as a checklist.

A practical approach: pick a target fish, confirm its conditions on the wiki, then go to the right water at the right time with the right weather. If you're working toward the "Master Angler" achievement, the collection tab is the authoritative list of what's left.

When a Docker build fails or a container exits immediately, the fix usually starts with reading the error correctly. Docker separates two phases: build time (the image is being created from your Dockerfile) and run time (a container is starting from a finished image). Most errors belong clearly to one phase, and identifying the phase narrows the cause quickly. This guide walks through how to read the output, isolate the layer where things break, and use Docker CLI commands to inspect and debug.

First: Decide Which Phase Is Failing

If you are unsure, run the build and the container separately rather than chaining them. That alone tells you which half of the problem you own.

Reading Docker Build Output

Build output is sequential. The failure is almost always at the last step shown, not the first. Docker prints each instruction and its result; the first non-zero exit stops the build.

Common build errors and their root causes

COPY failed: file not found in build context The path you referenced does not exist relative to the build context you passed. Check that:

• The file is inside the directory given to docker build (often .).
• A .dockerignore file is not excluding it.
• You are not copying from outside the context (Docker cannot reach parent directories).

RUN command returns exit code 1 (or another non-zero) The command inside the container failed. This is usually an application-level problem, not a Docker problem: a missing package, a wrong path, a failed download, or a command that assumes a shell feature your base image lacks. Read the lines above the error — the real message is often printed there.

failed to solve / buildkit errors BuildKit reports the failing instruction and often a hint. Treat the hint as a starting point, not a guarantee. Reproduce the failing command manually by running an interactive container from the previous stage's image.

no matching manifest for <platform> The image you are pulling does not publish a variant for your architecture. Confirm the image supports your platform, or build for the platform the image provides.

A practical build-debug loop

1. Build with plain output so steps are visible: docker build -t myapp .
2. Note the last successful step.
3. Start an interactive shell from that intermediate image (or from the base image) and run the failing command by hand.
4. Fix the Dockerfile, rebuild, repeat.

If the build is slow, reorder instructions so frequently changing steps come last — but do this only after the error is fixed, not while debugging.

Reading Container Startup Failures

A container that exits immediately is doing what it was told: its main process ended. Docker does not keep a container alive if its entrypoint/command finishes.

Step 1: Get the exit code

docker ps -a

Look at the STATUS column. An exit code of 0 usually means the process completed successfully but was not meant to be a long-running service. Codes like 1, 127, or 137 point to different causes:

• 127 — command not found (wrong entrypoint, missing binary, or a shell path issue).
• 1 — general application error; check logs.
• 137 — the process was killed, often out of memory or a manual stop.

Step 2: Read the logs

docker logs <container_id>

If the logs are empty, the process may have failed before producing output — a strong sign of a bad entrypoint or a missing executable. Confirm what the container is actually trying to run:

docker inspect <container_id>

Check the Config.Cmd and Config.Entrypoint fields. A common mistake is an entrypoint that references a file not present in the final image, or a shell form that swallows arguments.

Step 3: Run it interactively

Override the entrypoint to get a shell and explore the container's filesystem:

docker run -it --entrypoint sh <image>

From inside, verify the binary exists, the working directory is what you expect, and environment variables are set. This is the fastest way to separate "the image is wrong" from "the runtime configuration is wrong."

Step 4: Check runtime configuration

If the image works interactively but fails normally, the problem is likely configuration:

• Missing environment variables — the app exits when a required variable is absent.
• Port conflicts — the container starts but the host port is already in use; the error appears in docker run output.
• Volume mounts — a mount can hide files the image expected, or point at an empty host directory.
• Networking — the container cannot reach a dependency it needs at startup.

Isolating Dockerfile vs. Image vs. Runtime

Use this decision path:

1. Does the build succeed? If no, the problem is in the Dockerfile or build context.
2. Does the image run interactively? If yes but the normal run fails, the problem is runtime configuration (env, ports, volumes, command).
3. Does it fail in both? The image itself is incomplete — a missing dependency or file baked in at build time.
4. Does it work locally but fail elsewhere? Compare environment, architecture, and mounted data between the two environments.

When to Consult Docker Docs

The official documentation at docs.docker.com is the right reference for:

• CLI command flags — exact options for docker build, docker run, docker inspect, and docker logs.
• Dockerfile instruction semantics — how COPY, RUN, ENTRYPOINT, and CMD interact, especially the difference between shell and exec form.
• Build context and .dockerignore — what gets sent to the daemon and what is excluded.
• Registry and authentication — pull failures tied to login or access.

Use the docs to confirm behavior, not to guess at it. Error messages are usually literal; the documentation explains the rules behind them.

A Reusable Debugging Checklist

• [ ] Identify the failing phase: build or run.
• [ ] For builds, read the last STEP and the lines above the error.
• [ ] For runs, get the exit code with docker ps -a.
• [ ] Read docker logs before changing anything.
• [ ] Inspect Entrypoint and Cmd with docker inspect.
• [ ] Reproduce interactively with --entrypoint sh.
• [ ] Check env vars, ports, and volume mounts.
• [ ] Confirm the image supports your platform.
• [ ] Only then edit the Dockerfile or run command.

Most Docker errors are not mysterious once you know which phase failed and where to look. Read the last step, check the exit code, read the logs, and reproduce interactively. That sequence resolves the large majority of build and startup failures without guesswork.

Crossword Weaver is a Windows-only crossword puzzle maker that supports two distinct puzzle styles: free-form puzzles built from only your own words, and themed symmetrical newspaper-style grids. It offers a demo so you can test it before buying. Choose it if you need both styles in one tool and work on Windows; look at alternatives if you need cross-platform support, a browser-based workflow, or a free tool with no purchase step.

The core difference: two puzzle styles in one tool

Most crossword makers specialize in one output style. Crossword Weaver's distinguishing feature is that it handles both:

If you only ever need one style, a simpler or cheaper tool may cover you. If you switch between casual word-list puzzles and publication-style grids, having both in one program avoids juggling two tools.

Windows compatibility and trying before buying

Crossword Weaver is Windows only. That is a hard constraint, not a preference:

• Windows users: you can run it natively.
• Mac, Linux, or Chromebook users: you would need a Windows environment, or you should choose a cross-platform or web-based alternative instead.
• Before purchasing: the site provides a demo. Use it to confirm the puzzle styles, grid behavior, and output match your needs. The demo is the intended evaluation path, so treat it as your compatibility and feature check rather than assuming the paid version behaves the same in every detail.

The site references purchasing, so plan for a paid product rather than assuming it is free. Pricing details are not specified in the available information, so check the site directly for current terms.

Output: printable and playable puzzles

Crossword Weaver is described as producing printable and playable puzzles. When comparing tools, check these output dimensions on the same basis:

• Print: does the tool export a clean grid plus clues suitable for paper handouts?
• Play: can the puzzle be solved on screen, or is it print-only?
• Format control: can you adjust grid size, clue layout, and numbering?

A tool that prints well but has no on-screen play mode suits classroom handouts. A tool with playable output suits digital assignments or casual solving. Decide which of these you actually need before comparing, because it narrows the field quickly.

Ease of use and automation

Crossword Weaver emphasizes automatic generation: you supply words and clues, and it builds the grid. The practical questions to ask of any maker:

1. How much manual grid adjustment is required after auto-generation?
2. Does it handle word placement conflicts for you, or do you fix them by hand?
3. How long does a typical puzzle take from word list to finished output?

For hobby use, a rougher auto-generated grid is fine. For publishing or repeated classroom use, the amount of manual cleanup matters more than the feature list.

Which tool fits your use case

• Hobby and personal puzzles: a free or low-cost maker is often enough. Crossword Weaver's demo lets you judge whether the two-style support is worth paying for.
• Classroom use: prioritize printable output, fast generation from vocabulary lists, and Windows availability if your school machines run Windows.
• Publishing or newspaper-style grids: the symmetrical themed style is the relevant feature. Compare how each tool handles symmetry and grid polish, since that is where output quality diverges most.
• Cross-platform or browser-based work: Crossword Weaver is not the fit. Choose a web-based maker instead.

How to decide

1. Confirm you are on Windows. If not, stop here and look at cross-platform tools.
2. Decide whether you need both free-form and symmetrical styles, or just one.
3. Download the demo and build one real puzzle you would actually use.
4. Check the output: print it, and try solving it on screen if playable output matters to you.
5. Compare the result against one alternative on the same puzzle, then decide whether the purchase is justified.

The fastest way to choose is to run the same puzzle through Crossword Weaver's demo and one competing tool, then compare grid quality, output options, and time spent.

GitHub is a web platform for hosting Git repositories and collaborating on code. For open-source projects like mailcow, it serves as the place where source code lives, releases are published, bugs are reported, and contributions are reviewed. You can use GitHub without writing any code — browsing a project's repository, reading its changelog, or filing a bug report are all legitimate uses. The one thing to keep straight up front: Git is the version-control tool that tracks changes to files, while GitHub is a hosting and collaboration service built around Git. You can use Git without GitHub, and GitHub hosts projects that use Git.

The core concepts you'll actually encounter

A repository's history is a chain of commits. Branches let people work on changes without disturbing the main line. When a change is ready, it's proposed as a pull request, reviewed, and merged. Issues are the separate track for problems and discussion — they aren't code, but they often drive it.

Finding a project's source, releases, and changelog

For a project like mailcow, the repository is the authoritative source for what's in a given version. A practical path:

1. Open the project's repository page. The file listing and README are the front door — the README usually states what the project is and how to install it.
2. Check the Releases section (often a link in the sidebar) to see tagged versions. Release notes typically list component version bumps and security fixes. mailcow's own blog, for example, publishes entries such as "Mootember 2026 | Unbound 1.26.1, SOGo 5.12.11 & Redis 7.4.11" and "Mooly 2026 | Postfix 3.10.12, Rspamd 4.1.0 & Nginx 1.30.3," each tied to a dated update release.
3. Look for a CHANGELOG file or a changelog link. This is where you confirm exactly which component versions and fixes landed in a release.
4. Use the commits view when you need to know when something changed, not just that it changed.

This matters when you're deciding whether to upgrade. A release note that says it "addresses several security-related issues" and "strongly recommend[s] updating" is a different signal than a routine dependency bump.

Reporting a bug or contributing a change

The workflow is the same across most projects:

• Before filing an issue, search existing issues. Duplicates get closed, and the answer may already be there.
• When filing, include what you did, what you expected, and what happened — plus version numbers. For a Docker-based project, that means the image or release version and relevant logs.
• To contribute code, the usual path is: fork the repository, create a branch, make commits, push, then open a pull request against the upstream project. Maintainers review, request changes, and merge.

You don't need commit access to any of this. Forking and pull requests exist precisely so outside contributors can propose changes without direct write access to the main repository.

GitHub vs. Git, in one example

Say you want to fix a typo in a project's documentation. Git, running on your machine, records your edit as a commit and tracks the branch you made it on. GitHub is where you push that branch and open a pull request so the maintainers can see and merge it. Git did the version tracking; GitHub did the hosting and the collaboration. If you only ever browse a project's releases or read its issues, you're using GitHub and never touching Git directly — which is fine.

Where this leaves you

If your goal is to use a project like mailcow, you mainly need the Releases and changelog views to pick and verify a version. If your goal is to report or fix something, you need issues and pull requests. And if you're trying to understand what changed between two versions, commits and release notes are the record — not the marketing page.