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🎲 Property-Based Testing
QuickCheck, Hypothesis, Generative Testing, Invariants
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115830
posts in
2.18
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Games
Console
(2018)
mitxela.com
·
12h
·
Discuss:
Hacker News
🐛
Fuzz Testing
Help for
package
MADtests
cran.r-project.org
·
1d
🔬
Hypothesis Testing
718093 - 01/21/2026
fda.gov
·
18h
🎛
statistical process control
3/4
spell
swap
extra notes
cowboy-starshine.itch.io
·
17h
🔗
Parser Combinators
Three
Utilities
Problem
en.wikipedia.org
·
6h
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➡️
Arrows
Snippets
With Regular
Expressions
irreal.org
·
16h
🔲
Paredit
The State of
Agentic
Graph
RAG
localoptimumai.substack.com
·
20h
·
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Substack
🔗
Parser Combinators
Learning by
hand
is better than learning by AI
blog.engora.com
·
1d
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🔴
Test-Driven Development
DFlash
: Block Diffusion for Flash
Speculative
Decoding
z-lab.ai
·
1d
·
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🐛
Fuzz Testing
Lean
4 and the Curry–Howard
correspondence
wildonblog.wordpress.com
·
1d
➡️
Arrows
Exponential
Code, Network Effects in AI, & the Return of
Apprenticeships
implications.com
·
3h
·
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Chaos Engineering
January 2026 Monthly report | Alternative Rust
Compiler
for
GCC
rust-gcc.github.io
·
19h
·
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r/rust
📦
Cabal
Show HN: Find automation ideas and
creators
by
sharing
your business problem
humation.ai
·
1d
·
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👀
Code Reviews
AI is a High Pass
Filter
for Software
Delivery
bryanfinster.substack.com
·
1d
·
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Substack
🌪️
Chaos Engineering
A
dataset
collected
in real-world industrial control systems for network attack detection
nature.com
·
1d
🐛
Fuzz Testing
Spec-driven
development doesn't work if you're too confused to write the
spec
-
deontologician
publish.obsidian.md
·
1d
·
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Lobsters
,
Hacker News
,
r/programming
🐛
Fuzzing
A
one-prompt
attack that breaks LLM safety
alignment
microsoft.com
·
1d
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Fuzzing
How to Build Reliable
Incremental
Models in
dbt
for Large Datasets: Production Lessons at Scale
pub.towardsai.net
·
4h
🌲
Persistent Data Structures
Show HN: The Control and Memory
Layer
for AI Agents
news.ycombinator.com
·
18h
·
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🌪️
Chaos Engineering
Chimera-Protocol/csl-core
: Solidity for AI Policies. The Neuro-Symbolic safety layer for autonomous agents. Currently features formal verification via
Z3
, with a roadmap towards a Dual-Engine (
Z3
+ TLA+) runtime & Causal Inference audits.
github.com
·
15h
·
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