These examples demonstrate the "working" ergonomics and technical depth of the Dim language.
Status: Phase 2 complete. Core language features implemented. See
test.dimfor working examples.
Demonstrates indentation syntax, Option/Result, ownership, and capability-based I/O.
import std.net
import std.security
struct Packet:
header: u32
payload: Buffer
checksum: u64
fn parse_secure_packet(cap: &NetCapability, port: u16) -> Result[Packet, Error]:
# Capability-checked network access
let stream = cap.listen(port)?
verify:
# Symbolic execution ensures buffer safety
let raw = stream.read_fixed(1024)
if raw.len < 12:
return Err(Error.Truncated)
let p = Packet(
header: raw.read_u32(0),
payload: raw.slice(4, raw.len - 8),
checksum: raw.read_u64(raw.len - 8)
)
if security.validate_hmac(&p.payload, p.checksum):
return Ok(p)
return Err(Error.InvalidSignature)
Demonstrates native prompt types, structured outputs, and tensor-based inference.
prompt DefenderAction:
role system: "You are an autonomous firewall agent."
role user: "Analyze these logs: {logs}"
output: enum Action:
Block(ip: string)
Alert(msg: string)
Ignore
fn monitor_network(logs: Tensor[f32]):
let model = load_model("dim-guardian-v1")
# Run inference in a sandboxed context
with model.sandbox:
let decision = await model.execute(DefenderAction(logs.to_string()))
match decision:
Action.Block(ip):
firewall.drop(ip)
Action.Alert(msg):
log.warn("Anomalous activity: {msg}")
Action.Ignore:
pass
Demonstrates async/await, JS FFI, and WASM-friendly constructs.
extern "js" fn update_ui(data: string)
@export
fn process_and_render(raw_json: string) async:
# High-speed parsing in Dim (WASM)
let processed = await Task.spawn(fn:
let data = json.parse(raw_json)
return data.transform_optimized()
)
# Call back to JS for DOM updates
update_ui(processed.to_json())