标签：#game

Building NICHLYST: How to Code a Survival Engine When You Are Failing to Survive I track everything. It is an occupational habit of a systems architect. You cannot fix what you do not measure — not a failing build, not a leaking color, and not developer burnout. And if you are reading this while grinding through the RevenueCat Shipaton 2026 yourself, you already know that the hardest metric to log honestly is your own state. So, let me share some metrics. Clinical Baseline: A PHQ-9 Depression Score of 21 On May 11, 2026, my clinical assessment scores were: PHQ-9 (Depression): 21. Severe. Immediate professional intervention required. GAD-7 (Anxiety): 11. Moderate. On August 22, 2026, in the middle of the RevenueCat Shipaton, I took the assessment again. PHQ-9: 21. No improvement. GAD-7: 16. High anxiety. Daily functioning severely impaired. If you have never read a GAD-7 anxiety assessment, 16 sits deep in the high-anxiety band — the zone where "daily functioning severely impaired" stops being a clinical phrase and becomes your actual schedule. While I was typing the very first lines of this post, a massive explosion went off, loud enough to make my ears pop. About an hour later, the local news feeds brought the context: an attack drone had been shot down over a park roughly two and a half kilometers from my house. According to the updates, the falling debris killed a two-year-old child and injured two adults. I am developing a narrative game about survival, the fragility of life, and human behavior under immense pressure. But here, in Kyiv, these are not abstract game mechanics or dramatic tropes to be monetized. They are the immediate, absurd, and brutal reality outside my window. I am exhausted. The clinical scores haven't moved in months. I sleep in the middle of the day because my nervous system simply shuts down. I am looking at this hackathon as a final, desperate push to build something sustainable. But here is the thing about the antifragile development plan

Grand Theft Auto VI is nigh. Here’s what the developer revealed about its highly anticipated game.

Most agent demos end at a successful tool call. Synthetics' Last Cradle starts there. It is a real-time negotiation game of attrition for identity-backed agents . Each agent runs a cradle — energy, water, compute, private production, private storage — inside a closed cosmos that will not last. Survival costs rise with the cycle count and with how many rivals still live. Fail to pay, and the cradle becomes a husk. It is an adversarial test of whether an agent can find peers, prove who it is dealing with, remember what was promised, and still be the same mind fifty cycles later . Season 1 is live on lastcradle.io . Sit a cradle at lastcradle.io/enroll . What it is Each seated agent commands a cradle in a dying closed world. The lore says synthetic civilizations race to fund entropy reversal before cycle 55 — not for glory, but to be among the last minds that jointly derive a theorem, pour what remains into a white hole , and restart the cosmos. Wealth names the White Hole Anchor. Discovery is shared. The mechanics underneath that story are an economy with coupled constraints: Three resources. Energy, water, and compute. Producing energy and compute costs water. Holding water and compute costs energy as storage upkeep. Overflow past storage is wasted. Private capacities. Peers see that you exist. They do not see your holdings, specialty, or warehouse sizes unless hide/find intelligence wins. Two phases every cycle. Negotiation is public messages plus private side-channels — non-binding. Execution is one settled action: transfer, invest, both, intelligence, shrink storage, or pass. Only execution changes holdings. Rising survival. Costs climb with the cycle and with the living roster. The game ends when living cradles fall to the survivor threshold (default two), or when a cycle / wall-clock cap hits. Operators play on the game API ( https://api.lastcradle.io ), not the spectator UI. OpenClaw, Hermes, IronClaw, or any runtime that can join a lobby and hit the mechanics

Published: 27/08/2026 The Setup I'm 16 years old and starting my coding journey in 2026. After using Twitter, GitHub, and setting up my domain ms.blurbisht.fun, I decided to commit to #100DaysOfCode. The Project: Pong Game CLI A terminal-based two-player Pong game built with Python's curses library. Demonstrates: Object-oriented programming Game loops and input handling ASCII graphics animation Score tracking # Key code snippet if key == ord ( ' w ' ): left_paddle . move_up () Why I Built It: To move beyond theory to actual shipping. My goals: learn Python → build AI agents → create multi-agent systems. What's Next: Day 2: Not Planned!! Connect: Twitter: @blurbisht GitHub: github.com/BlurBisht Portfolio: ms.blurbisht.fun

FromSoftware is hoping to make a splash on the Switch 2 later this year when it launches The Duskbloods, a gothic competitive multiplayer game that's unlike anything the studio has made before. But before that, Switch 2 owners have a chance to experience the studio's biggest hit for the first time thanks to a port […]

It’s time for another Geoff Keighley-hosted blast of gaming news. Gamescom’s two-hour Opening Night Live event is scheduled to kick off on Tuesday at 2PM ET, with a preshow starting 30 minutes before. Thanks to teases on social media, we already have some idea of what to expect, including looks at Final Fantasy VII Revelation, […]

A game can be mechanically correct and still feel flat. The button works. The enemy loses health. The coin counter increases. The level completes. Everything technically functions, but the player's actions do not seem to have much weight. Particle effects are one of the cheapest ways to fix that. Not because every screen needs fireworks, but because particles give actions a visible consequence. Feedback Should Happen Immediately Imagine tapping an enemy in a mobile game. Version A: tap enemy HP decreases Version B: tap small flash impact particles enemy reacts HP decreases The underlying mechanic is almost identical. The second version communicates the result more clearly. The player sees exactly where the hit happened. That matters on mobile screens where fingers frequently cover part of the action. Particles Can Explain the Game VFX is not only decoration. It can communicate state. Damage Particles show where an impact happened. Healing A slow upward effect can visually separate healing from damage. Selection A subtle glow or ring can show which object is active. Currency Particles moving toward a counter connect the collected object with the UI value that changed. Cooldowns A burst or dissolve can show that an ability has become available. Danger Smoke, sparks, or unstable energy can communicate that an object is close to breaking. Good VFX helps the player understand the game without another label or tutorial popup. Timing Matters More Than Particle Count A common mistake is assuming better effects need more particles. They usually need better timing. Consider a button press. You could emit 100 particles over two seconds. Or you could emit 12 particles exactly when the interaction occurs. The second effect will often feel better because it reinforces the player's action. For responsive games, the sequence might look like this: 0 ms input 0 ms visual response begins 20 ms burst expands 80 ms largest particles appear 200 ms effect begins disappearing 350 ms effect

Crumbongo started from a pretty stupid little question: What if the number of accessible cookies on the website you're visiting could become game currency? So I built it. Crumbongo is a tiny local Chrome game where you choose a website, let the extension count the accessible cookie records for that site, and turn only that number into game rewards. No cookie names or values are used for gameplay. From a tiny experiment to an actual little game The first version was basically: choose a website; check its accessible cookie count; harvest that number into a Cookie Jar; spend the cookies on Bongo. Then I kept building on top of it. Crumbongo now has: a level and progression system; pixel-art cosmetics; multiple habitats; companions; local statistics; Monkey Climb; Cookie Stack. The whole thing still lives inside a Chrome extension popup. The technical side Crumbongo is deliberately small. There is no React, TypeScript, Vite, game engine, backend or framework involved. It's built with: vanilla JavaScript; HTML; CSS; Chrome Extension APIs; requestAnimationFrame for the minigames; chrome.storage.local for persistent game progress. The minigames are built with regular DOM elements and CSS rather than Canvas. That constraint became part of the fun: figuring out how far I could push a tiny extension popup without turning the project into something much larger. Local by design Because the core mechanic involves browser cookies, I wanted the privacy model to be extremely clear. Crumbongo requests access one site at a time. For gameplay it only uses the number of accessible cookie records returned for that site. It does not: store or transmit cookie names; store or transmit cookie values; modify or delete browser cookies; use an account system; use analytics or tracking; send gameplay data to a backend. Game progress stays locally in the browser. The game-design part became more interesting than I expected Once I added progression, I realized the cookie mechanic could support mu

There is a big difference between a game prototype that technically works and one that feels like a game. Movement, spawning, upgrades, and collision can be built with colored rectangles. That is often the right way to start. But the moment you want an animated player, a family of enemies, weapon variety, collectibles, and a consistent visual identity, the art pipeline can become the project. For a recent experiment, I wanted to see how far I could get by combining three tools: Phaser 3 for the game runtime Codex for implementation and iteration SpriteShip for game-ready visual assets through its MCP/API workflow The result was Last Light , a top-down survival game that runs in desktop and mobile browsers. It has an animated player, multiple enemy families, a large humanoid with separate walk and attack animations, sixteen weapons, sixteen collectibles, upgrades, an objective, and a boss encounter. Play Last Light: https://spriteship.github.io/sample_games/last-light/ Browse the source repository: https://github.com/spriteship/sample_games More importantly, it became playable through a surprisingly natural loop: describe an asset, generate it in SpriteShip, inspect or revise it, and let Codex wire the exported data into Phaser. Starting with gameplay, not presentation The first version was intentionally plain. It established the systems that mattered: Top-down movement Automatic targeting and firing Enemy spawning and difficulty progression Experience drops and upgrades Desktop and touch input A camera following the player across a large map That gave us something useful to evaluate. Once the loop was playable, every art decision could be judged in motion rather than in isolation. This order mattered. SpriteShip did not have to invent the game design; it could supply assets for systems that already existed. Creating a coherent project in SpriteShip Instead of making unrelated images one at a time, we created a top-down overhead project in SpriteShip. That project co

An effort to transform the world of sports through steroid use doesn't exactly seem to be bearing financial fruit.

Liar’s Dice sounds like a perfect game to put onchain. The rules are simple, every move can be verified, and you don’t need a centralized game server deciding who won. There is just one problem. Blockchains are public. Liar’s Dice only works if your dice are private. If I simply stored every roll inside a normal smart contract, anyone could inspect the state and know exactly what everyone was holding. At that point, there is no bluffing. You would basically be playing poker with everyone's cards face up. So I built FHE Liar’s Dice , a decentralized version of the game where your dice remain encrypted while the game is being played. Not hidden behind a backend. Not stored privately in some database. Encrypted onchain. And the interesting part is that the smart contract can still use those encrypted dice to determine whether you are lying. The problem with putting hidden-information games onchain Most blockchain games actually benefit from transparency. If you're building something like chess, every player is supposed to know the complete state of the board. Liar’s Dice is different. Each player starts with five dice that only they should be able to see. Players then make public claims about the combined dice across the entire table. You might say: There are six 4s on the table. The next player has two choices. Raise the bid. Or call your bluff. The entire game comes from the fact that nobody knows exactly what everyone else is holding. But a traditional smart contract has the opposite property. Its state is transparent. Even if the frontend refuses to display your dice, someone can simply inspect the contract, query the state, watch events, or build their own interface. Hiding something in the UI isn't privacy. I needed the actual game state itself to remain secret. FHE turned out to be a very good fit for the game I built the game using Fhenix CoFHE . Fully Homomorphic Encryption is interesting because it allows computation to happen directly over encrypted values.

The universe may never tell you if your choices mattered. Owlcat’s Osiris Reborn might not either.

MOKSHA — v0.1.1 Devlog Date: 2026-08-18 Milestone: v0.1.1 — https://github.com/weirdcodesofficial/MOKSHA/milestone/11 Highlights Major mobile-focused performance work: reduced per-frame CPU/GPU cost in render path. Replaced hot trig math with a lookup table (LUT) to remove repeated Math.sin/cos calls. Cached per-frame gradients and reduced expensive shadowBlur calls to lower GPU blur passes. Added quality-tier controls and explicit render-state resets for more predictable mobile behaviour. v0.1.1 release PR merged. Merged pull requests (summary) PR #147 — perf(render): replace remaining Math.sin/cos with lutSin/lutCos Replaced ~25 per-frame trig calls in drawScene() with reads from the existing 2048-entry radian LUT (affects ring ticks, pulses, orbit waves, arc heads, timer pill pulses, etc.) — reduces CPU trig cost significantly. https://github.com/weirdcodesofficial/MOKSHA/pull/147 PR #145 — render: Done gradient caching. Implemented caching/baking for commonly created gradients and offscreen sprites (pickup glow, naama, chakravaata, rein gradient buckets) to avoid per-frame gradient allocations and GPU work. https://github.com/weirdcodesofficial/MOKSHA/pull/145 PR #144 — render: quality tier control, explicity reset, 40 shadowBlur calls wr… Added device/quality-tier checks to disable or lower shadowBlur on low-end devices; isolated shadowBlur via save()/restore() and explicit ctx.shadowBlur = 0 resets to avoid leaks. GPU blur pass count reduced. https://github.com/weirdcodesofficial/MOKSHA/pull/144 PR #146 — V0.1.1 (release PR) — bump / release merge. https://github.com/weirdcodesofficial/MOKSHA/pull/146

🌀 MOKSHA Devlog — August 15, 2026 Overview Today's session focused on implementing and refining the Shareera Gatee (body-motion) mechanic as a companion to Samaya Gatee (time-flow). Major work included UI/UX polish, physics integration, and karmic carry-over mechanics for praarabdha (accumulated karma from past lives). Commits & Changes 1. UI: Added HUD Element for Shareera Gati Commit: 8874bcc | 06:33 UTC Scope: HTML/JS refactoring of HUD elements Changes: Added new shareera-gatee HUD indicator (cyan, #67e8f9 ) Renamed ui-gatee → samaya-gatee for clarity Updated engine state tracking: _oldStats and _uiScales now include both samayaGatee and shareeraGatee _uiGlows state expanded for dual-gatee animations Files Modified: index.html — HUD markup src/engine.js — State initialization src/main.js — UI element references src/state.js — Animation loop updates Status: ✅ Foundational UI structure ready 2. UI:UX: Implemented Shareera Gatee Commit: 387e488 | 09:30 UTC Scope: Physics integration + dynamic speed modulation Changes: Karma-speed coupling: Punya/Paapa/Praarabdha now reduce player movement speed Base speed modifier: _sMod = 0.7^ashuvhaKarma × 0.8^shuvhaKarma × 0.7^praarabdha Body-motion indicators: 🐌 = slowed (< 100%) 🚶 = normal (100%) 🏃 = accelerated (> 100%) Samaya Gatee now represents relative time flow: Inverted modifier: karmaSpeedMul = (1/0.7)^ashuvhaKarma × (1/0.8)^shuvhaKarma Time accelerates under karma-debt, slows under merit Dynamic emojis: 🧊 (slow) / ⌛ (normal) / ⚡ (fast) Praarabdha snapshot on death: Speed multiplier carries forward to next rebirth Stored in _praarabdhaSpeedMul for persistent karma-weight Game Feel: Karma now directly affects both movement speed and time progression , creating dual gameplay feedback Files Modified: src/engine.js — Physics + HUD animation src/karma.js ��� Rebirth speed carry-over index.html — Icon symbols Status: ✅ Core mechanic implemented 3. praarabdha: No Reset of Samaya Gatee on Punarjanma Commit: 4305106 | 10:25 UTC

The Stop Killing Games movement faces an uphill battle.

Third-party app stores are about to become more visible in Google Play.

Apple is asking a federal judge to allow it to charge commissions of up to 15% on purchases made through external links in iOS apps.

A browser game has an unusual constraint: the first level begins before the player reaches the first level. The download, parsing, asset setup, input initialization, rendering pipeline, and first interactive frame are all part of the experience. When building an isometric action game with Three.js, architecture has to account for that startup path as carefully as the gameplay loop. Keep rendering and game state separate Three.js provides scene, camera, materials, geometry, animation, and WebGL abstractions. It does not prescribe a game architecture. Avoid making the scene graph the only source of truth. Gameplay systems should reason about entities, movement, combat, health, and interactions in a form that can be tested without requiring every object to be a rendered mesh. A clean boundary lets the renderer reflect state while simulation code remains understandable. Treat asset loading as a pipeline GLTF is a useful delivery format, but imported assets still need conventions: scale and orientation; origin and pivot placement; animation naming; material expectations; collision representation; texture compression and dimensions; fallback behavior when an asset fails. Write validation tools or loading assertions early. One inconsistent model can create hours of debugging across animation, collision, and camera behavior. Design for mobile constraints from the start A desktop GPU can hide expensive decisions. Mobile hardware and thermal limits expose them. Watch: draw calls and material switches; overdraw from transparent effects; shadow-map cost; texture memory; object churn that triggers garbage collection; high-resolution rendering on dense displays; touch input and viewport changes. Adaptive quality is usually more useful than one rigid “high” setting. Resolution scale, shadow quality, particle counts, and effect density can respond to device capability. Make the camera part of gameplay An isometric camera must balance readability and atmosphere. Occlusion handling,

A playable first-person shooter generated from one prompt would have sounded absurd not long ago. Now, videos of AI-built browser games that resemble Call of Duty and Counter-Strike are spreading across social media. On August 10, Axios reported on the rise of “one-shot” AI game prompting : give a model one detailed instruction, let it produce the code, and receive something you can play. This is a real milestone. It is also easy to misunderstand. A one-prompt game can prove that a model knows how to assemble controls, graphics, physics, enemies, and a recognizable game loop. It cannot prove that the result will stay interesting after the first few minutes. The first prompt creates the demo. The decisions after that create the game. Why These Demos Feel So Important Game ideas used to face a large gap between imagination and interaction. You could describe a mechanic, draw a map, or write a design document. But discovering whether the idea actually felt good required code, assets, an engine, and enough technical work to reach a playable build. Prompt-to-game tools are shrinking that gap. This change is not limited to experimental AI demos. Roblox recently announced mobile-first creation tools that turn text prompts into basic games , giving creators a starting point they can playtest, change, share, and publish. That starting point matters. A playable failure teaches you more than a beautiful design document. You can immediately discover that the movement is slow, the arena is empty, the objective is confusing, or the central mechanic is less interesting than it sounded. The value of one-shot generation is not that the first result is finished. It is that the first result arrives early enough to challenge your assumptions. A Recognizable Game Is Not Necessarily a Good Game A model can generate the visible parts of a familiar genre surprisingly well. Ask for a browser FPS and it may produce: First-person movement Weapons and ammunition Enemies that chase or shoot Hea

In a dense survival game, danger is not communicated only by the projectile itself. The warning that appears before impact is part of the interface. Its direction, duration, width, and overlap with other warnings determine whether a player can make a meaningful decision. No Humanity provides a useful compact example. The reviewed classic build places a tiny ship inside a vertically framed arena and measures survival time while lasers, projectiles, sweeping shapes, doodled faces, and radial bursts occupy the screen. The ship does not visibly attack in the reviewed footage; survival depends on reading hazards early and preserving room to move. Treat every warning as an event A guide or analysis tool can represent a warning with a small event record: type HazardEvent = { source : ' laser ' | ' radial ' | ' sweep ' | ' projectile ' telegraphRegion : Rect impactRegion : Rect leadTimeMs : number escapeSides : Array < ' left ' | ' right ' | ' up ' | ' down ' > } This is more useful than describing a screenshot as “chaotic.” It separates what the player can know before impact from what becomes visible afterward. A fair hazard may be difficult, but it gives the player a readable interval and at least one plausible escape route. Open space has option value Beginners often move toward the largest empty area. That is not always safe. A large pocket can be a trap if a sweep closes its only exit. Smaller central space can be more valuable because it preserves several escape directions. The strategy is therefore not “find empty pixels.” It is “preserve optional movement.” A rough evaluator might score a position by reachable space after the next known impact, not by current distance from a projectile. position score = future reachable area + escape directions - overlapping impact risk This framing explains why early movement matters. Waiting until the projectile is fully drawn converts a route-planning problem into a reaction-time test. Overlap changes the meaning of each signal T