Skip to content
Branch: master
Find file Copy path
Find file Copy path
Fetching contributors…
Cannot retrieve contributors at this time
350 lines (222 sloc) 7.46 KB
Tools I can use to conduct a similar discussion/talk to convince others of the value of these things!
"Simplicity is a Prerequisuite for Reliability"
Word origins
could we go back to what these words REALLY mean?
Simple: sim-plex - one fold
Easy: ... lie near
vs hard
One/fold braind
One role
One task!
One concept
One dimension
But not
one instance
one operation
about lack of interleaving, not cardinality
Interleavage is an Objective notion
Near, physically
on our own hard drive, in our toolset, IDEA apt get gem install
Near, to our current understand/skill set
familiar - mentally near
Overly fixated on these two meanings of easy.
If y9ou want everything to be familiar, you learn NOTHING
Third meaning of easy:
Near, to our capabilities.
Easy is RELATIVE - unlike simple.
Construct vs Artifact
over time we glom stuff onto the artifact, not the original construct
programmer convenience
programmer replaceability
We can only hope to make reliable those things we understand
We can only consider a few things at a time
Interwined things must be considered together (burden! and combinatorial)
Complexity undermines understanding
refactoring and tests allow us to make change with ZERO impact.... just kidding ... sarcasm
If you change sofware you need to analyse and figure what needs to change.
Ability to reason about your application is critical to changing it with out fear
NOT talking about formal proofs!
What's true of every bug in the field
passed the test, and the type checker.
Now what the heck do we do?
"Guard rail" driven development? Do the guard rails guide you places?
You need to be able to reason about a program to find the BUGS!
We can solve the sprint problem: we just fire the starting pistol every hundred yards.
If you ignore complexity - you will invariably sloooowwww down over time.
Ease focus, fast at start, slow down every sprint to redo everything
Siplicity focus, a bit slower at the start, but then ramp up toa higher steady state of productivity
Easy Yet Complex?
Many compicating constructs are
succintly descirbe
easy to use
What matters is what the program yields!
When there is complexity there (insidental complexity, because has nothign to do with the artifact you created)
Benefits of Simplicity
Ease of understanding
Ease of change
easier debugging
Making things Easy
bring to hand byinstalling
getting approved for use
become familiar by learning, trying
but mental capability?
not goign to move very far
make things near by simplifying them
Juggling - how many balls you want in the air? How many of those you want to be application complxity, and how many incidental complexity?
Not at hand for most
nor familiar
but are they REALLY simple?
Not in CL/Scheme
overloaded for calls and grouping
this is a valid complaint
Adding a data structure for grouping, e.g. vectors, makes each simpler
now they are easy to you!
What is In Your Toolkit?
COmplex Simple
state, objects Values
methods functions, namespaces
vars managed refs
inheritence, switch, matching polyumorphism
syntax data
imperative loops, fold set functions
actors queues
ORM declarative data manipulation
conditionals rules
inconsistency consistent
archaic - braid together
don;t do it
complecting thigns is a source complexity
best to avoid in the first place
to place together
composing simple copmpnents is the way we write robust software!
can make simple systems byu making them modular!
What do we want to make these two things allowed to think about??
AKA, program towards abstractions! BBO
Don't be fooled by code organization
State is Never Simple
Complects value and time
it is so EASY!
interleaves everything that touches it, directly or indirectly
Not all refs/vars Equal
but they're not the same
All warn of state, help reduce it
Clojure and Haskell refs compose value and time
alow you to extract a simple value
provide abstractions of time
Does your var do that?
[c-> means 'complects']
State c-> Everthinyg they touch
Objects c-> State, identity, value
MEthods c-> function and state, namspaces
Syntax c-> meaning, order
Inheritance c-> types
swithicng/matching multiple who what pairs
variables value, time
loop, fold what/how
actors what to do, who does it
Simplicity != Easy
The Simplicity toolkit
You do not need C#/JAva/C++. you can make big systems with dramatically simpler tools.
We make hundreds of variations tha tmake it tough to manipuolate thhe seence of this stuff (data). We should use simple data so we can write code to work on the essence of this stuff.
rules - libraries, prolog
(didn't typ ethis list of places to get the simple versions, review the video for that)
Environmental complexity
Resourrce, eg memory, CPU
inherent complexity in impl space
all components fight for these
Individual policies don't compose
makes things more complex
Absstraction for Simplicity
Who, What, When, Where, Why and How
I don't know; I doon't want to know
form abstractions from related sets of functions
small sets
Represent them with ploymorphism constructs
speicify inputs outputs semantics
use only values, and other abstractiosn
Don';t Complect with HOW
How, is somebody else's problem.
Data engine or logi engine, you can do that stuff!!
Entities impl abstractions
Build from, subcomponents direct-injection style
pursue many subcomponents
eg, policy
Dont complect with
component details
Impl logic
Connect to abstractions and entities via polymorphism constructs
Prefer abstractions that don't dictate how
declarative tools
Dont compect with
anything :_)
*When, Where*
Strenouously avoid complecting thiese with the design
can seep in via diretly connected objects
Use queues
If you're not using quques extensive you should start right away, like right after this talk
The policy and rules of the application
Often strewn everywhere
losts thefdfadsdff
Information is Simple
you ruin it, byhiding it behind a micro language, wrong because it is complex.
thwarts generic data composition
ties logic to representation du jour
Represent data as data
Bottom line is that simplicity is a chocie.
We have culture of complexity. We're in a self-reinforcing rut.
REquires constant vigilance.
Requires sensibilities and care, easy != simple
Develop sensibilities around entanglement
Seeeeeing the complecting.
Reliability tools (testing, refactoring, etc) all safety nets that don't touch this problem.
Choose simple constructs over complecitygenerating constructs
ints the artifacts, not the authoring
create abstractions that have simplicity as the basis
simplify the problem space before you start
simpicity often mean you have more things... not about counting
Reap the benefits!
Parting joke
Tell them this when they try to seel you a soffisticated type system :P ;)
You can’t perform that action at this time.