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Authors

Wasyra Engineering

Modernization, architecture, and reliable delivery

Wasyra Engineering documents patterns for moving legacy systems without freezing delivery or breaking ownership.

Focus areas

LegacyRefactorArchitecture

Posts by this author

Engineering

B2B SaaS technical due diligence checklist before you invest

What to review in architecture, security, data, debt, observability, and delivery before buying, investing in, or scaling a B2B SaaS.

Article

Engineering

Legacy modernization roadmap for SaaS without slowing the business

How to split SaaS modernization by routes, contracts, data, and operations to reduce risk without freezing sales or delivery.

Article

Engineering

Platform Engineering in 2026: why Gartner says 80% of large enterprises now run an IDP

Pure DevOps hit the ceiling. The new normal is an IDP with golden paths, embedded AI, policy-as-code, and FinOps as part of the pipeline. What to build and when.

Article

Engineering

Code agent benchmarks in 2026: why SWE-Bench Pro brings expectations back to earth

Top models hit 70%+ on SWE-Bench Verified and just 23% on SWE-Bench Pro. How to read these numbers before committing budget to an agent.

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Engineering

Developer experience in 2026: from IDE to agent-collaborative environment

The copilot moved from IDE feature to permanent colleague. Team metrics shifted from velocity to time in flow + clean-review rate.

Article

Engineering

Lakehouse in 2026: Iceberg, streaming, and why your warehouse falls short

Apache Iceberg won. CDC with Debezium, Flink streaming, and catalogs like Polaris or Unity are the new spine. What to keep, what to adopt, and what to measure before migrating.

Article

Engineering

LLM observability in 2026: why OpenTelemetry and evals must run together

Monitoring an LLM is not monitoring a microservice. Tokens, cost, variable latency, drift, and subjective quality. How to build the stack with OTel + GenAI semantic conventions + online evals.

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Engineering

Legacy modernization without freezing delivery

Most large refactors fail because they try to clean everything at once. The useful approach decouples risk, routes, and ownership.

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