Introducing ECAI v1, the agentic coding environment by EPIS Cloud AI.
ECAI Coder users: fast, reliable coding for everyday development
ECAI Coder Max: stronger long-horizon reasoning for complex tasks
BYOK supported: works with OpenAI-compatible SDKs and APIs
Available via npm, VS Code Extension, and API
Start building now: https://t.co/kVsTm8DzDS
Most AI coders write code. ECAI finishes the task. Introducing ECAI v1 by EPIS CLOUD AI — agentic coding for real developers. From $0.30 / 1M input tokens. Cache discounts up to 90%. Public Beta now open: https://t.co/7vmQvMKdub
ECAI coding benchmark update
Internal LiveCodeBench-style pass@1 validation across easy / medium / hard tasks:
coder
Easy: 93
Medium: 80
Hard: 60
coder-max
Easy: 100
Medium: 93
Hard: 67
coder is built for fast daily coding.
coder-max is built for deeper reasoning, debugging, and agentic coding workflows.
Next: expanding to larger, public benchmark sets.
Today’s ECAI validation run:
coder and coder-max both passed 30/30 hidden tests across 6 curated coding problems in a gVisor sandbox.
coder is optimized for fast everyday coding.
coder-max is designed for deeper reasoning and more complex agentic workflows.
Public beta: https://t.co/66KVd1BDR7
Start coding with Coder and Coder Max — agentic AI coding for real-world developers.
$10 signup credit
$7 add-card bonus
Up to $17 free credit for new users.
Try EpisCloud today
We already have full SWE results, quantitative evaluations, and benchmarks.
But we want users to try Coder and Coder Max directly and judge their real-world performance — including any operational issues.
All user data is stored in Australia and New Zealand.
Introducing ECAI v1 Public Beta: An agentic coding system built for real-world software development, now accessible through EpisCloud.
ECAI v1 includes Coder and Coder Max — designed to help developers plan, build, debug, refactor, and ship production-ready code with stronger reasoning, longer-horizon execution, and reliable coding workflows.
Available now with:
NPM Agent: https://t.co/1ZA95aUDI0
VS Code Extension: https://t.co/8M3JV2o6JP
Try it: https://t.co/XNDAJqGpnk 🚀
ECAI v1 Game Test — coder vs coder-max Verdict 🎮
We tested both ECAI v1 coding modes on the same task:
Build a complete single-file HTML5 Snake game through the newly deployed non-streaming gateway.
The result: both coder and coder-max successfully generated a complete, playable, production-quality Snake game.
This was not an empty structure, not placeholder code, and not a partial implementation. Both outputs were real games with correct gameplay logic, clean architecture, and stable execution.
Key results:
coder completed the task in 40.6 seconds, with an estimated cost of around $0.028.
coder-max completed the task in 79.6 seconds, with an estimated cost of around $0.061.
Both finished cleanly with finish_reason = stop, meaning the gateway handled the full non-streaming response properly without truncation.
From a code-quality perspective, both implementations were strong:
✅ Single-file HTML5 game
✅ Clean IIFE architecture
✅ Proper sectioning
✅ Buffered direction handling
✅ 180-degree turn prevention
✅ Correct self-collision logic
✅ Complete game loop
✅ Real playable Snake mechanics
The most important finding: both models correctly handled the classic Snake edge case.
When the snake eats food, the tail does not move, so self-collision must be checked against the full body.
When the snake does not eat, the tail moves away, so the last tail cell should be excluded from collision detection.
This logic is easy to get wrong, and many Snake implementations fail here.
Both coder and coder-max got it right.
The difference came down to style and trade-off:
coder delivered faster, cheaper, and with more visual polish — glow effects, pulse animation, and stronger game feel.
coder-max produced slightly cleaner and more concise code, with useful additions like localStorage best-score persistence and a speed HUD.
Bottom line:
For practical coding-agent work, coder currently offers the stronger price-to-quality ratio.
For slightly more refined and compact code structure, coder-max has the edge.
Both are good enough for real tasks.
This test confirms that ECAI v1 is not only capable of generating static code, but also complete interactive browser applications with correct game logic, clean architecture, and production-ready behavior.
ECAI v1 is getting closer to public beta. 🚀
#ECAI #EPISCLOUDAI #CodingAgent #AgenticAI #HTML5 #GameDev #AIEngineering #SnakeGame
ECAI v1 Cube Test — Internal Verdict ✅
We tested two ECAI v1 coding modes on a 3D cube rendering task:
• coder powered by ECAI V1
• coder-max powered by ECAIV1
The result: both models generated a mathematically correct 3D cube from scratch.
Geometry checks passed:
✅ 8 vertices
✅ 12 real cube edges
✅ No diagonal mistakes
✅ Euler formula V − E + F = 2
✅ Valid rotation matrix with determinant = 1
✅ Stable perspective projection
✅ No NaN, no degenerate rendering, no inverted cube
Both outputs produced a real cube, not a distorted or fake 3D shape.
The interesting part: coder-max won this test.
While coder was clean, fast, and efficient, coder-max showed stronger production-level rendering quality:
• safer divide-by-zero protection
• DPR-aware canvas rendering for sharper Retina displays
• dt-based animation for more stable motion when browser tabs are paused or resumed
• stronger robustness in 3D math + rendering edge cases
Bottom line:
For speed, cost efficiency, and UI/animation polish → coder performs very well.
For 3D math, robustness, and production-grade rendering → coder-max has the edge.
This is exactly why ECAI v1 includes both coder and coder-max.
Different tasks need different reasoning profiles.
The cube test confirms that ECAI v1 can handle real coding tasks, math-heavy rendering, and long-reasoning requests through our production gateway.
HTML output generated successfully:
scratchpad/cube_coder.html
scratchpad/cube_codermax.html
Both cubes rotate smoothly in the browser.
ECAI v1 is getting closer to public beta. 🚀
#ECAI #EPISCLOUDAI #AgenticAI #CodingAgent #DeepSeek #GLM52 #AIEngineering