{"id":2061,"date":"2026-10-23T09:01:42","date_gmt":"2026-10-23T09:01:42","guid":{"rendered":"https:\/\/studiokrew.com\/blog\/?p=2061"},"modified":"2026-10-23T09:03:37","modified_gmt":"2026-10-23T09:03:37","slug":"rts-game-development-guide","status":"publish","type":"post","link":"https:\/\/studiokrew.com\/blog\/rts-game-development-guide\/","title":{"rendered":"How to Develop an RTS Game in 2026: Netcode, Unit AI, and Budget"},"content":{"rendered":"\n

An RTS game needs four systems working together: a deterministic simulation that runs hundreds of units on a fixed tick, multiplayer networking built around that simulation, unit AI and pathfinding that hold up in crowds, and an economy that stays balanced under real play. A focused playable MVP (two factions, one map, skirmish against AI) takes 8 to 12 weeks and starts at $20,000. A full multiplayer RTS with matchmaking and more content typically costs $80,000 to $200,000.<\/p>\n\n\n\n

We have shipped more than 700 games since 2013, and strategy projects are the ones where early technical decisions are most expensive to undo. This guide walks through what an experienced RTS game development company<\/a> plans before modeling a single unit, so you can scope your game with clear eyes.<\/p>\n\n\n\n

What Makes RTS Development Different From Other Genres<\/h2>\n\n\n\n

In a shooter or an action game, each player controls one character. The server tracks a few dozen moving objects and sends their positions to everyone many times a second. That model falls apart in an RTS, where a single match can have several hundred units on the field, each picking targets, avoiding neighbors, and reacting to orders every tick.<\/p>\n\n\n\n

RTS players also do not control units directly. They issue commands (move here, attack that, build this) and the simulation carries them out. That sounds like a small difference, but it changes everything downstream. Your networking sends commands instead of state. Your AI has to interpret intent, not just follow a joystick. Your UI has to support box selection, control groups, hotkeys, a minimap, and fog of war, all of which need to feel instant.<\/p>\n\n\n\n

Then there is balance. A shooter can survive one overpowered weapon for a patch cycle. In an RTS, one cheap unit with the wrong damage value can collapse the entire strategic layer, because every build order and counter relationship depends on it. Few genres punish small numerical mistakes this hard.<\/p>\n\n\n\n

Choosing an Engine for an RTS: Unity, Unreal, Godot, or Custom<\/h2>\n\n\n\n

The honest answer is that no off-the-shelf engine gives you an RTS simulation out of the box. Most serious RTS teams use the engine for rendering, input, audio, UI, and tooling, then write their own deterministic simulation layer underneath. Engine physics and default floating-point math are rarely safe for lockstep multiplayer, so the engine choice is more about the shell around your simulation than the simulation itself.<\/p>\n\n\n\n

Unity<\/strong> is a strong fit for mobile and cross-platform strategy games. Its data-oriented stack includes the Entities package, the Burst compiler, and the C# Job System, which help when you need thousands of entities on screen. One detail worth knowing: Unity’s own documentation describes Netcode for Entities as a client-server solution<\/a>, so a lockstep RTS still needs custom networking. It is also our default for most RTS projects, and our Unity game development<\/a> team usually pairs ECS rendering with a separate fixed-point simulation.<\/p>\n\n\n\n

Unreal Engine 5<\/strong> suits high-fidelity PC and console RTS projects. Unreal Engine’s official documentation describes MassEntity as a framework for data-oriented calculations, which is useful for big armies. Recent releases show the engine can carry the genre. Tempest Rising, released in April 2025, is built on Unreal Engine 5. Stormgate entered early access in 2024 on Unreal Engine 5, and its July 2024 early access announcement described a custom technology layer called SnowPlay that brought rollback netcode to the game. For teams going this route, Unreal Engine game development<\/a> experience with C++ and Mass matters more than Blueprint skills.<\/p>\n\n\n\n

Godot<\/strong> is open source under the MIT license, lightweight, and a good choice for 2D or smaller-scale strategy games. The tradeoff is console reach. Godot’s official documentation says Steam Deck is currently the only console it officially supports because console SDKs are confidential and covered by non-disclosure agreements, so PlayStation, Xbox, and Switch releases require separate porting work.<\/p>\n\n\n\n

Custom engines<\/strong> give total control over determinism and performance. Beyond All Reason runs on Recoil, an open-source fork of the SpringRTS engine, and Notebookcheck reported in May 2025<\/a> that community battles earlier that year involved more than 100 simultaneous players and over 10,000 units. That scale took years of community engineering, which is why custom engines only make sense for well-funded teams with a long runway.<\/p>\n\n\n\n

Engine<\/th>Best fit for an RTS<\/th>What to plan for<\/th><\/tr><\/thead>
Unity 6<\/td>Mobile, cross-platform, stylized 3D or 2D<\/td>Custom lockstep layer; ECS learning curve<\/td><\/tr>
Unreal Engine 5<\/td>High-fidelity PC and console<\/td>C++ heavy simulation work; larger builds for mobile<\/td><\/tr>
Godot<\/td>2D and smaller-scale strategy, tight budgets<\/td>No official console support; smaller talent pool<\/td><\/tr>
Custom<\/td>Massive unit counts, long-term franchises<\/td>Years of engine work before content<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

Deterministic Lockstep Networking, Explained<\/h2>\n\n\n\n

Most classic RTS games use deterministic lockstep networking. Instead of sending every unit’s position and health, each player sends only their commands. Every machine runs the same simulation with the same inputs, so every machine reaches the same game state.<\/p>\n\n\n\n

The approach is well documented. In their 2001 GDC paper, 1500 Archers on a 28.8<\/a>, the programmers behind Age of Empires explained that their targets included eight-player matches on a Pentium 90 with a 28.8 modem, and that passing unit data in real time would have severely limited how many units the game could support. So the game sent player commands instead.<\/p>\n\n\n\n

In practice, commands are scheduled a few turns ahead to hide latency, and each turn advances only after every player’s inputs have arrived. The payoff is huge: bandwidth stays tiny regardless of army size, and replays become nearly free because you only store the command log.<\/p>\n\n\n\n

The cost is that the simulation must be perfectly deterministic. Unordered containers, frame-rate-dependent logic, uninitialized memory, or floating-point differences between CPUs can all cause a desync, where two players silently end up in different games. This problem never fully goes away. An engineer from the Age of Empires series is scheduled to speak on cross-platform determinism at Meeting C++ 2026 in Berlin this November, and the session abstract lists floating-point consistency and undefined behavior among the pitfalls in code that has evolved for nearly 30 years.<\/p>\n\n\n\n

Our lead gameplay programmer puts it plainly: \u201cLockstep is not a networking feature you add at the end. It is a rule for the entire codebase. The moment someone reads frame time inside gameplay code, loops over an unordered map, or calls engine physics, they have planted a desync that might only show up at minute twenty of a four-player match. So we choose the network model before we write the first unit, and we build a desync checker in week one.\u201d<\/p>\n\n\n\n

Lockstep has known weaknesses too: input delay, the whole match waiting on the slowest connection, harder reconnects, and full game state on every client, which invites map hacks. Rollback and server-authoritative hybrids address some of these at a higher engineering cost. If you are still weighing engines for an online game in general, our breakdown of Unity vs Unreal for multiplayer games<\/a> covers the wider tradeoffs.<\/p>\n\n\n\n

Unit AI and Pathfinding at Scale<\/h2>\n\n\n\n

RTS AI works in layers. At the bottom, each unit handles targeting, stances, and attack-move. Above that, squads coordinate. At the top, opponent AI makes strategic decisions about economy, scouting, and attack timing. Each layer has to be cheap enough to run for every unit, every tick, inside a deterministic simulation.<\/p>\n\n\n\n

Pathfinding is where most teams hit the wall first. Running A* separately for 200 units heading to the same spot wastes enormous CPU and creates traffic jams. Flow fields solve this by computing one vector field per destination that every unit in the group can sample. The technique was developed during work on Supreme Commander 2, and the Game AI Pro chapter Crowd Pathfinding and Steering Using Flow Field Tiles<\/a> explains how it moves hundreds to thousands of agents across large maps without rebuilding a path for each one.<\/p>\n\n\n\n

\"How<\/figure>\n\n\n\n

Flow fields tell units where to go. Steering decides how they get there: separation keeps units from stacking, avoidance stops them walking through each other, and arrival behavior prevents the jittery dance at the destination. Formation movement adds another layer. Units get assigned slots, the group moves at the speed of its slowest member, and the formation compresses through chokepoints before reforming on the other side. Get this wrong, and players will feel it within thirty seconds.<\/p>\n\n\n\n

Opponent AI is where RTS work overlaps with broader AI game development<\/a>. Utility scoring and behavior trees remain the practical choice for a skirmish opponent, because they are predictable and easy to tune. Machine learning is more useful on the side, for example, as automated bots that play large numbers of matches against each other to flag balance outliers before humans ever see them.<\/p>\n\n\n\n

The Economy, Tech Tree, and Balance<\/h2>\n\n\n\n

An RTS economy is a set of rates: gather speed, unit cost, build time, and supply caps. Those rates decide the most important number in any RTS, which is how early a player can launch a meaningful attack. The tech tree then gates power behind time and resources, creating the decisions that make the genre interesting. Expand now or tech up? Build counters or race to a late-game unit?<\/p>\n\n\n\n

Balance lives in counter relationships. Each unit needs a clear job, a clear weakness, and a cost that makes both worth considering. The trap is that these relationships interact. Change the cost of one early unit and you shift every build order that uses it.<\/p>\n\n\n\n

Our game designer is firm about the order of work: \u201cEvery unit you send to art is a unit you have committed to, emotionally and financially. If we discover in month six that the anti-armor loop does not work, we lose models, animations, effects, and voice lines. So we balance with grey boxes and spreadsheets first, run internal matches and bot-versus-bot games every week, and a unit only goes to art once its role has survived real play.\u201d<\/p>\n\n\n\n

This is the single cheapest way to protect an RTS budget. Grey-box balancing costs a fraction of art production, and the decisions it surfaces would otherwise appear after the money is spent.<\/p>\n\n\n\n

Scoping an RTS MVP: What to Build First and What to Cut<\/h2>\n\n\n\n

The goal of an RTS MVP is to prove that the core loop is fun and that the technical foundation will scale. It is not a smaller version of the full game. It is the part of the game everything else depends on.<\/p>\n\n\n\n

Here is what we put in a first playable build:<\/p>\n\n\n\n