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ποΈ Dead Code
Elimination, Unreachable Code, Control Flow, Optimization
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80223
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Scheme-JS: A Scheme
Interpreter
with Transparent JavaScript
Interoperability
furious-ideas.blogspot.com
Β·
19h
π§
Scheme Macros
When Code Is Cheap, What
Happens
to
AppSec
?
pentesterlab.com
Β·
6h
πΊ
Code Archeology
AI Code Generation Tools Repeat Security Flaws, Creating
Predictable
Software
Weaknesses
quantumzeitgeist.com
Β·
17h
π
Program Synthesis
Are AI
SQL
yet?
viblo.se
Β·
9h
π
Query Optimization
The
Leg
Was Never
Broken
dev.to
Β·
10h
Β·
Discuss:
DEV
π₯Ύ
Bootstrapping Strategies
Iβve written
15k
lines of Go with AI and canβt write hello world by hand - but Iβm confident with my
codebase
github.com
Β·
14h
Β·
Discuss:
r/golang
π
Self-Documenting Code
Testing 80 LLMs on
spatial
reasoning on
grids
mihai.page
Β·
1d
Β·
Discuss:
Hacker News
π¬
Interactive REPLs
Nvidia now
produces
three times as much code as before AI β specialized version of Cursor is being used by over 30,000 Nvidia engineers
internally
tomshardware.com
Β·
17h
β‘
Live Coding
Software Engineering Is Back
blog.alaindichiappari.dev
Β·
2d
Β·
Discuss:
Lobsters
,
Hacker News
π
Bootstrapping
The vibe coding
spectrum
: from weekend
hacks
to the dark factory
betterthangood.xyz
Β·
1d
π
Program Synthesis
Most teams donβt have
technical
debt β they have
undocumented
risk
allclearstack.com
Β·
1d
Β·
Discuss:
r/programming
π
Code Metrics
How
StrongDM
βs AI team build
serious
software without even looking at the code
simonw.substack.com
Β·
1d
Β·
Discuss:
Substack
π³
Tree Shaking
An approach to
reducing
prompt size,
drift
, and governance risk in LLM-based systems
qu3ry.net
Β·
8h
Β·
Discuss:
r/LLM
π‘
Erlang BEAM
Closing
the
Loop
on /insights
blog.gorewood.games
Β·
15h
π
Gradual Effects
Fragments
: February 9
martinfowler.com
Β·
10h
π¨
Domain-Specific Languages
Show HN:
AetherLang
β A
DSL
for building AI workflows with visual debugging
github.com
Β·
4h
Β·
Discuss:
Hacker News
β¨
Gleam
The Future of Software Engineering
poberezkin.com
Β·
1d
Β·
Discuss:
Hacker News
π
Program Synthesis
Exposing
Weaknesses
of Large Reasoning Models through Graph Algorithm Problems
arxiv.org
Β·
1d
πΊοΈ
Graph Traversal
Tutorial
on
Agentic
Engine
pori.vanangamudi.org
Β·
1d
Β·
Discuss:
r/LocalLLaMA
π
Erlang OTP
Building LLMs in
Resource-Constrained
Environments
: A Hands-On Perspective
infoq.com
Β·
18h
πͺ
Recursive Descent
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