@ddonprogramming

Wolven Tech: Rust consulting. AllSource Prime: durable AI memory → https://xitter.cf/t.co/CfdDxoKhs5 Longhand: AI workflows & training → https://xitter.cf/t.co/Rbml5TOtFF

 London, United Kingdom
wolventech.com
Joined January 2014
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1,000 followers. Thank you. Marking it by opening something up: I am taking on fractional full stack AI developer work through Wolven Tech Ltd. Five spots. One is already taken. How it works below.
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1/6 Get engineers involved before you standardise how the team uses Claude Code or Codex. Pick a real change. Design the harness and review process with the engineers who will build, review and operate it.
🤖 Made with AI
Football tactical pieces surround a shared passing route with a clear handoff marker. Caption: Design the handoff.

ALT Football tactical pieces surround a shared passing route with a clear handoff marker. Caption: Design the handoff.

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5/6 Run the actual change through the process. Observe missing context, unclear evidence and work waiting for a decision. Let the engineers revise the workflow from those observations. Judge the result against the shared user outcome.
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6/6 DORA describes how AI-assisted authoring can shift effort into verification: dora.dev/insights/balancing-… Use the next rollout to build the harness and review process with the engineers who will use them.

DORA | Balancing AI tensions: Moving from AI adoption to effective SDLC use

DORA is a long running research program that seeks to understand the capabilities that drive software delivery and operations performance. DORA helps teams apply those capabilities, leading to better...

dora.dev
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Custom telemetry destinations introduce failures the product team cannot control. OpenTelemetry's design guide discusses shared and tenant-specific collectors; its resiliency docs describe finite queues and retries. 1/5
🤖 Made with AI
Parallel silver channels lead to separate pale receivers. A closed red gate backs up one channel; a wolf-engraved partition separates it from the open channel. Caption: Bound each export.

ALT Parallel silver channels lead to separate pale receivers. A closed red gate backs up one channel; a wolf-engraved partition separates it from the open channel. Caption: Bound each export.

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Disable a test tenant's destination under representative load. Verify resource bounds, the declared loss policy and healthy-tenant delivery. Persistent queues also depend on storage; they do not guarantee lossless delivery. 4/5
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Name the owner of export limits and customer-visible failure reporting. These same-project documents provide mechanisms, not independent proof of your product's isolation. opentelemetry.io/blog/2026/o… opentelemetry.io/docs/collec… 5/5

OTel-Native by Design - Building Products That Export to Any Observability Stack

With contributions from Dan Gomez Blanco (New Relic). If you’re building self-hosted software or a SaaS product, your users will eventually ask to send logs, traces, and metrics to their own observ...

opentelemetry.io
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A buffered log can be written after its request context changes. OBI's trace-log correlation report warns that asynchronous writes under backpressure can miss context or carry stale context. 1/5
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Red and silver shapes pass through a dark buffer onto a conveyor. A lamp illuminates their geometric identifiers at the outlet, watched by a sculptural silver wolf. Caption: Check the write boundary.

ALT Red and silver shapes pass through a dark buffer onto a conveyor. A lamp illuminates their geometric identifiers at the outlet, watched by a sculptural silver wolf. Caption: Check the write boundary.

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Delay output in a representative service and interleave requests. Compare emitted records with the requests that created them. Inspect after the buffer; a log-creation check can miss the later write context. 4/5
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This is a proposed qualification test, not a measured failure rate. Retain logging configuration, covered paths and known gaps so investigators can recognise unavailable correlation. opentelemetry.io/blog/2026/o… 5/5

Zero-code trace-log correlation with OBI

You get paged. A trace shows a request failing in one of your services, and you know the answer is in the logs — but which log lines belong to that request? If the service never adopted structured...

opentelemetry.io
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LightOn's OCR report describes normalising equivalent representations before scoring. Footnote formatting can change an edit-distance penalty while leaving the extracted information intact. 1/5
🤖 Made with AI
Round and diamond-faced silver stamps sit above matching pale broken-circle impressions. A separate red impression remains different; a wolf seal rests nearby. Caption: Version the normaliser.

ALT Round and diamond-faced silver stamps sit above matching pale broken-circle impressions. A separate red impression remains different; a wolf seal rests nearby. Caption: Version the normaliser.

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Build paired fixtures: equivalent content expressed differently, plus changes that alter information the application needs. Require the latter to remain distinguishable. Keep the fixtures with each normaliser revision. 4/5
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Before using an OCR score to choose a model, identify the normaliser revision and inspect raw output for an example whose score changed. No independent ranking is established by this review. huggingface.co/blog/lightona… 5/5

LightOnOCR-3: High-Performance OCR and Layout Extraction in One Model

A Blog post by LightOn AI on Hugging Face

huggingface.co
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