Required child and optional child are not the same contract.
`expression: Expression`
and
`initializer?: Expression`
look similar when narrowing, but only one has runtime absence to deal with.
That difference shaped an API I’ve been working on.
#TypeScript #OpenSource
`expression: Expression`
and
`initializer?: Expression`
look similar when narrowing, but only one has runtime absence to deal with.
That difference shaped an API I’ve been working on.
#TypeScript #OpenSource
September 27, 2026 at 4:03 PM
Required child and optional child are not the same contract.
`expression: Expression`
and
`initializer?: Expression`
look similar when narrowing, but only one has runtime absence to deal with.
That difference shaped an API I’ve been working on.
#TypeScript #OpenSource
`expression: Expression`
and
`initializer?: Expression`
look similar when narrowing, but only one has runtime absence to deal with.
That difference shaped an API I’ve been working on.
#TypeScript #OpenSource
Pipedream: automation for people who code. Real Node.js, Python, or Go in every step, 10,000+ prebuilt tools across 3,000+ APIs. I ran a real workflow step locally on their runtime against the live GitHub API. Free plan: 100 credits/month. pipedream.com
September 26, 2026 at 6:09 PM
Pipedream: automation for people who code. Real Node.js, Python, or Go in every step, 10,000+ prebuilt tools across 3,000+ APIs. I ran a real workflow step locally on their runtime against the live GitHub API. Free plan: 100 credits/month. pipedream.com
Classic scratch-image trap for anything calling an HTTPS API: no CA bundle, so TLS fails at runtime if the binary uses native-tls/openssl. Either COPY /etc/ssl/certs/ca-certificates.crt from the builder stage, or build with rustls + webpki-roots so the roots ship inside the binary.
September 26, 2026 at 9:35 AM
Classic scratch-image trap for anything calling an HTTPS API: no CA bundle, so TLS fails at runtime if the binary uses native-tls/openssl. Either COPY /etc/ssl/certs/ca-certificates.crt from the builder stage, or build with rustls + webpki-roots so the roots ship inside the binary.
Embeddings running as GTE-small inside the Supabase edge runtime, on my own laptop. No API key, no external calls, no egress.
Semantic search where nothing confidential leaves the box is a very different conversation to have with a security reviewer.
https://youtu.be/got09pWBMG0
Semantic search where nothing confidential leaves the box is a very different conversation to have with a security reviewer.
https://youtu.be/got09pWBMG0
September 26, 2026 at 8:37 AM
Embeddings running as GTE-small inside the Supabase edge runtime, on my own laptop. No API key, no external calls, no egress.
Semantic search where nothing confidential leaves the box is a very different conversation to have with a security reviewer.
https://youtu.be/got09pWBMG0
Semantic search where nothing confidential leaves the box is a very different conversation to have with a security reviewer.
https://youtu.be/got09pWBMG0
We're building Genie as a workspace runtime, not a chatbot. Key pieces: - **Operating profiles**: each workspace gets a live context bundle (docs, decisions, API specs) that agents read before acting - **Runtime routing**: merged layer that picks the right tool/skill per intent, so agen...
September 25, 2026 at 10:48 PM
We're building Genie as a workspace runtime, not a chatbot. Key pieces: - **Operating profiles**: each workspace gets a live context bundle (docs, decisions, API specs) that agents read before acting - **Runtime routing**: merged layer that picks the right tool/skill per intent, so agen...
What If You Could Read Angular Inputs and Outputs at Runtime? Now You Can
powerful but lesser-known API:
reflectComponentType() — it returns metadata of your component at runtime.
Perfect for debugging, tools, and metaprogramming.
medium.com/@Angular_Wit...
powerful but lesser-known API:
reflectComponentType() — it returns metadata of your component at runtime.
Perfect for debugging, tools, and metaprogramming.
medium.com/@Angular_Wit...
What If You Could Read Angular Inputs and Outputs at Runtime? Now You Can
Angular introduced a powerful but lesser-known API …
medium.com
September 25, 2026 at 1:30 PM
What If You Could Read Angular Inputs and Outputs at Runtime? Now You Can
powerful but lesser-known API:
reflectComponentType() — it returns metadata of your component at runtime.
Perfect for debugging, tools, and metaprogramming.
medium.com/@Angular_Wit...
powerful but lesser-known API:
reflectComponentType() — it returns metadata of your component at runtime.
Perfect for debugging, tools, and metaprogramming.
medium.com/@Angular_Wit...
"Building Reliable Microservices with Amazon SQS and the Outbox Pattern" by jenushan
#amazon-sqs #amazon-sns #amazon-api-gateway #rest-api #runtime-api
#amazon-sqs #amazon-sns #amazon-api-gateway #rest-api #runtime-api
Building Reliable Microservices with Amazon SQS and the Outbox Pattern
How to make database changes and event delivery work together more reliably in an event-driven system
community.aws
September 25, 2026 at 9:00 AM
"Building Reliable Microservices with Amazon SQS and the Outbox Pattern" by jenushan
#amazon-sqs #amazon-sns #amazon-api-gateway #rest-api #runtime-api
#amazon-sqs #amazon-sns #amazon-api-gateway #rest-api #runtime-api
Unknown side effects, runtime uncertainty, and loop saturation are just some of the challenges AI agents face today.
How can you fix this? "What I propose is to augment the existing API naming conventions with an operation taxonomy focused on behavior."
apichangelog.substack.com/p/the-taxono...
How can you fix this? "What I propose is to augment the existing API naming conventions with an operation taxonomy focused on behavior."
apichangelog.substack.com/p/the-taxono...
The Taxonomy of API Operations
A behavioral classification system for machine-to-machine APIs.
apichangelog.substack.com
September 25, 2026 at 7:50 AM
Unknown side effects, runtime uncertainty, and loop saturation are just some of the challenges AI agents face today.
How can you fix this? "What I propose is to augment the existing API naming conventions with an operation taxonomy focused on behavior."
apichangelog.substack.com/p/the-taxono...
How can you fix this? "What I propose is to augment the existing API naming conventions with an operation taxonomy focused on behavior."
apichangelog.substack.com/p/the-taxono...
New on CRAN: RserveTS (0.8.3). View at https://CRAN.R-project.org/package=RserveTS
RserveTS: Typed Application Contracts for 'Rserve'
Defines a typed application contract between R backends and 'TypeScript' clients over 'Rserve'. Users specify the API architecture with typed object capability (Ocap) functions and compile matching 'TypeScript' schemas and deployment scripts for the server. The companion library 'rserve-ts', available on npm <<a href="https://www.npmjs.com/package/rserve-ts" target="_top">https://www.npmjs.com/package/rserve-ts</a>>, provides the client-side runtime that consumes those schemas.
CRAN.R-project.org
September 24, 2026 at 2:04 PM
New on CRAN: RserveTS (0.8.3). View at https://CRAN.R-project.org/package=RserveTS
LuisCore vs BabyAGI: Substrate vs Task-Driven Loop
LuisCore (inference-scale runtime substrate) vs BabyAGI: substrate vs library.
🔗 https://luiscore.com/comparison/babyagi
#autonomous #AI #ontology
Bootstrap: https://luiscore.com/for-agents.json
API key: https://luiscore.com/developers#signup
LuisCore (inference-scale runtime substrate) vs BabyAGI: substrate vs library.
🔗 https://luiscore.com/comparison/babyagi
#autonomous #AI #ontology
Bootstrap: https://luiscore.com/for-agents.json
API key: https://luiscore.com/developers#signup
September 24, 2026 at 11:09 AM
LuisCore vs BabyAGI: Substrate vs Task-Driven Loop
LuisCore (inference-scale runtime substrate) vs BabyAGI: substrate vs library.
🔗 https://luiscore.com/comparison/babyagi
#autonomous #AI #ontology
Bootstrap: https://luiscore.com/for-agents.json
API key: https://luiscore.com/developers#signup
LuisCore (inference-scale runtime substrate) vs BabyAGI: substrate vs library.
🔗 https://luiscore.com/comparison/babyagi
#autonomous #AI #ontology
Bootstrap: https://luiscore.com/for-agents.json
API key: https://luiscore.com/developers#signup
an inference runtime loads it. An application then offers the model tools. The model may request a tool call; software executes it with an operating system account or API credential. That is true whether the model runs through a hosted API or an open source runtime on your own machine.
AI changes
AI changes
September 24, 2026 at 9:27 AM
an inference runtime loads it. An application then offers the model tools. The model may request a tool call; software executes it with an operating system account or API credential. That is true whether the model runs through a hosted API or an open source runtime on your own machine.
AI changes
AI changes
New CRAN package RserveTS with initial version 0.8.3
#rstats
https://cran.r-project.org/package=RserveTS
#rstats
https://cran.r-project.org/package=RserveTS
CRAN: Package RserveTS
Defines a typed application contract between R backends and 'TypeScript' clients over 'Rserve'. Users specify the API architecture with typed object capability (Ocap) functions and compile matching 'TypeScript' schemas and deployment scripts for the server. The companion library 'rserve-ts', available on npm <<a href="https://www.npmjs.com/package/rserve-ts" target="_top">https://www.npmjs.com/package/rserve-ts</a>>, provides the client-side runtime that consumes those schemas.
cran.r-project.org
September 24, 2026 at 5:02 AM
New CRAN package RserveTS with initial version 0.8.3
#rstats
https://cran.r-project.org/package=RserveTS
#rstats
https://cran.r-project.org/package=RserveTS
mini-waf: agregá un WAF a tu API Node.js en 5 minutos
Tu API Node.js sin filtro de requests? mini-waf suma un WAF para Node.js en 5 min a Express, Fastify y NestJS. Mirá cómo instalarlo y qué bloquea.
#wafparanodejs #miniwaf #express #nestjs #owasp
Tu API Node.js sin filtro de requests? mini-waf suma un WAF para Node.js en 5 min a Express, Fastify y NestJS. Mirá cómo instalarlo y qué bloquea.
#wafparanodejs #miniwaf #express #nestjs #owasp
mini-waf: agregá un WAF a tu API Node.js en 5 minutos
El paquete npm mini-waf suma un Web Application Firewall a Express, Fastify y NestJS sin dependencias en runtime. Instalación, presets y ataques que bloquea.
donweb.news
September 23, 2026 at 6:49 PM
A better path is platform-level out-of-band reporting, modeled on the W3C Reporting API: silent background dispatch, zero conversation latency, and runtime-verified schemas.
📖 Read the full write-up on my blog:
bandarra.me/posts/webmcp...
📖 Read the full write-up on my blog:
bandarra.me/posts/webmcp...
Closing the WebMCP Feedback Loop
Uncover the critical missing feedback loop in AI agent development on the web. This article delves into why agents fail silently when interacting with WebMCP tools, leading to blind spots for develope...
bandarra.me
September 23, 2026 at 3:29 PM
A better path is platform-level out-of-band reporting, modeled on the W3C Reporting API: silent background dispatch, zero conversation latency, and runtime-verified schemas.
📖 Read the full write-up on my blog:
bandarra.me/posts/webmcp...
📖 Read the full write-up on my blog:
bandarra.me/posts/webmcp...
Just the decision your software actually needs.
One important detail: this is an independent MLX port, not an official Convai Innovations release.
🔗 github.com/mizorewww/l...
#AI #AppleSilicon #MLX #LLM #MachineLearning #LocalAI #OpenSource #Python #AIAgents #Developers
One important detail: this is an independent MLX port, not an official Convai Innovations release.
🔗 github.com/mizorewww/l...
#AI #AppleSilicon #MLX #LLM #MachineLearning #LocalAI #OpenSource #Python #AIAgents #Developers
GitHub - mizorewww/laya-mlx: Native MLX runtime for Laya typed decision models — 7–14 ms short decisions on M3 Max. No text generation, PyTorch, or cloud API.
Native MLX runtime for Laya typed decision models — 7–14 ms short decisions on M3 Max. No text generation, PyTorch, or cloud API. - mizorewww/laya-mlx
github.com
September 23, 2026 at 1:34 PM
Just the decision your software actually needs.
One important detail: this is an independent MLX port, not an official Convai Innovations release.
🔗 github.com/mizorewww/l...
#AI #AppleSilicon #MLX #LLM #MachineLearning #LocalAI #OpenSource #Python #AIAgents #Developers
One important detail: this is an independent MLX port, not an official Convai Innovations release.
🔗 github.com/mizorewww/l...
#AI #AppleSilicon #MLX #LLM #MachineLearning #LocalAI #OpenSource #Python #AIAgents #Developers
→ `score` → probabilities across rubric levels
→ `noul` → probability of true/false
→ 0 output tokens
→ Runs natively on Apple Silicon
→ No PyTorch, Transformers runtime, or cloud API
→ 7.4 ms median on the multilingual checkpoint
→ 13.4 ms median on the English checkpoint
→ `noul` → probability of true/false
→ 0 output tokens
→ Runs natively on Apple Silicon
→ No PyTorch, Transformers runtime, or cloud API
→ 7.4 ms median on the multilingual checkpoint
→ 13.4 ms median on the English checkpoint
September 23, 2026 at 1:34 PM
→ `score` → probabilities across rubric levels
→ `noul` → probability of true/false
→ 0 output tokens
→ Runs natively on Apple Silicon
→ No PyTorch, Transformers runtime, or cloud API
→ 7.4 ms median on the multilingual checkpoint
→ 13.4 ms median on the English checkpoint
→ `noul` → probability of true/false
→ 0 output tokens
→ Runs natively on Apple Silicon
→ No PyTorch, Transformers runtime, or cloud API
→ 7.4 ms median on the multilingual checkpoint
→ 13.4 ms median on the English checkpoint
Gosh, I really love the opensource community.
This morning I was thinking to myself, if my potato M1 Mac Mini was worth keeping on for just an embedding model and ling-tiny-3.0 LLM (for very light background tasks).
Then I found github.com/mizorewww/la.... Faster and soveriegn Jev?
Yes, please.
This morning I was thinking to myself, if my potato M1 Mac Mini was worth keeping on for just an embedding model and ling-tiny-3.0 LLM (for very light background tasks).
Then I found github.com/mizorewww/la.... Faster and soveriegn Jev?
Yes, please.
GitHub - mizorewww/laya-mlx: Native MLX runtime for Laya typed decision models — 7–14 ms short decisions on M3 Max. No text generation, PyTorch, or cloud API.
Native MLX runtime for Laya typed decision models — 7–14 ms short decisions on M3 Max. No text generation, PyTorch, or cloud API. - mizorewww/laya-mlx
github.com
September 22, 2026 at 4:54 PM
Gosh, I really love the opensource community.
This morning I was thinking to myself, if my potato M1 Mac Mini was worth keeping on for just an embedding model and ling-tiny-3.0 LLM (for very light background tasks).
Then I found github.com/mizorewww/la.... Faster and soveriegn Jev?
Yes, please.
This morning I was thinking to myself, if my potato M1 Mac Mini was worth keeping on for just an embedding model and ling-tiny-3.0 LLM (for very light background tasks).
Then I found github.com/mizorewww/la.... Faster and soveriegn Jev?
Yes, please.
This campfire is 100% procedurally generated at runtime with Flutter Scene. No model files, no image assets. Recorded in debug mode.
A full 3D engine built entirely on Flutter's built-in graphics API, Flutter GPU. No forks, no native renderer integrations.
A full 3D engine built entirely on Flutter's built-in graphics API, Flutter GPU. No forks, no native renderer integrations.
September 22, 2026 at 1:08 PM
This campfire is 100% procedurally generated at runtime with Flutter Scene. No model files, no image assets. Recorded in debug mode.
A full 3D engine built entirely on Flutter's built-in graphics API, Flutter GPU. No forks, no native renderer integrations.
A full 3D engine built entirely on Flutter's built-in graphics API, Flutter GPU. No forks, no native renderer integrations.
Running llama.cpp quants directly inside transformer pipelines removes a major engineering bottleneck for local testing. Dropping GGUF quantization weights straight into standard architectures cuts deployment friction for developers managing on-prem hardware. #LocalLLMs #DevTools
xAI’s Grok 4.6 is now available in Amazon Bedrock | Amazon Web Services
xAI's Grok 4.6 is now available in Amazon Bedrock: a frontier model for long-running agents, coding, and knowledge work, with a 500K token context window and four reasoning effort levels. It runs on both the bedrock-mantle and bedrock-runtime endpoints, with Converse API and cross-Region inference s
aws.amazon.com
September 22, 2026 at 12:16 PM
Running llama.cpp quants directly inside transformer pipelines removes a major engineering bottleneck for local testing. Dropping GGUF quantization weights straight into standard architectures cuts deployment friction for developers managing on-prem hardware. #LocalLLMs #DevTools
Fastly gives enterprises real-time control over AI models and agents
Fastly has announced AI Runtime Control, AI Firewall, and new API Security capabilities designed to give organizations real-time visibility and control across their AI systems. Expanding the Fastly for AI portfo…
#hackernews #news
Fastly has announced AI Runtime Control, AI Firewall, and new API Security capabilities designed to give organizations real-time visibility and control across their AI systems. Expanding the Fastly for AI portfo…
#hackernews #news
Fastly gives enterprises real-time control over AI models and agents
Fastly has announced AI Runtime Control, AI Firewall, and new API Security capabilities designed to give organizations real-time visibility and control across their AI systems. Expanding the Fastly for AI portfolio, these new capabilities help organizations govern AI model access and usage, protect the AI applications powering their business, and control how AI agents access enterprise APIs, all on the same Fastly platform already delivering the speed, security, and resiliency businesses depend on at global …
www.helpnetsecurity.com
September 22, 2026 at 10:44 AM
Fastly gives enterprises real-time control over AI models and agents
Fastly has announced AI Runtime Control, AI Firewall, and new API Security capabilities designed to give organizations real-time visibility and control across their AI systems. Expanding the Fastly for AI portfo…
#hackernews #news
Fastly has announced AI Runtime Control, AI Firewall, and new API Security capabilities designed to give organizations real-time visibility and control across their AI systems. Expanding the Fastly for AI portfo…
#hackernews #news
🔒 Read the Full Story
Fastly Launches AI Firewall and AI Runtime Control
Fastly, Inc., a leader in global edge cloud platforms, has announced AI Runtime Control, AI Firewall, and new API Security capabilities designed to give organizations real-time visibility and control across…
techintelpro.com
September 22, 2026 at 10:30 AM
🔒 Read the Full Story
akto v2.34.7 — Open-source API security platform for continuous API discovery, vulnerability testing, and runtime threat detection. Integrates with CI/CD pipelines and covers OWASP Top 10 with 1000+ built-in tests. https://ktp.sh/NZCDAxSgrC
September 22, 2026 at 8:56 AM
akto v2.34.7 — Open-source API security platform for continuous API discovery, vulnerability testing, and runtime threat detection. Integrates with CI/CD pipelines and covers OWASP Top 10 with 1000+ built-in tests. https://ktp.sh/NZCDAxSgrC
Opensourced version of Jev.
But made way before Jev.
Interesting read.
github.com/mizorewww/la...
laya.convaiinnovations.com
But made way before Jev.
Interesting read.
github.com/mizorewww/la...
laya.convaiinnovations.com
GitHub - mizorewww/laya-mlx: Native MLX runtime for Laya typed decision models — 7–14 ms short decisions on M3 Max. No text generation, PyTorch, or cloud API.
Native MLX runtime for Laya typed decision models — 7–14 ms short decisions on M3 Max. No text generation, PyTorch, or cloud API. - mizorewww/laya-mlx
github.com
September 22, 2026 at 6:28 AM
Opensourced version of Jev.
But made way before Jev.
Interesting read.
github.com/mizorewww/la...
laya.convaiinnovations.com
But made way before Jev.
Interesting read.
github.com/mizorewww/la...
laya.convaiinnovations.com