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Cobra Book (2025)
Interactive code analysis with the Cobra tool.
A comprehensive overview of
all usage options for the most recent version
of Cobra will be published this year.
The book details the use of command queries, pattern expressions,
and writing both sequential and parallel inline programs
either for code analysis or for building standalone applications.
It also discusses Cobra's new graphical user interface, and some
unexpected applications of the tool, for instance for runtime
verification and statistical code analysis. See link below.
New 2nd Edition 2026 (PDF format)
The new 2nd Edition is available now, in PDF format only, and
updated for the latest release of the Cobra tool.
It described Cobra Version 5.3. (Newer releases will remain
backward compatible with this version.)
You can purchase it here:
tgrep
A new front-end to Cobra is available as part of Cobra Version 5.3.
It is a token-based version of the Unix tool grep that can be
useful for scanning a code base (e.g., looking for all uses of the variable i,
or matching longer code patterns with don't care parts.
The manual page: tgrep.1.
The influence of AI on Code Quality
The following is quoted from a recent (June 2026) webpost by [email protected],
emphasizing the continued need for strong code review support tools.
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"Coding agents moved the hard part of engineering from writing code
to deciding whether to trust it, making review the most leveraged
skill in software now that the old happy accident no longer holds."
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"The 2026 data converges: Faros AI's 22,000-developer study found
code churn up 861%, per-developer defect rate up from 9% to 54%,
review duration up 441%, and zero-review merges up 31%, while
GitClear shows 4x raw output for ~12% delivered-value gain,
the gap being the review problem in one line."
Another quote emphasizes that the thought that AI can efficiently
replace all human code development efforts may be overly optimistic:
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"LLM-assisted coding isn't likely to be affordable anytime soon.
While it can enable developers to create things they never would
have otherwise been able to before, it isn't economically viable
for most use cases. It is only viable now because subscriptions
are heavily subsidized. Serious use cases that require loops
and "thinking" using APIs have become very expensive.
Developers need to prepare for costs to continue rising and
build more resilient systems."
Note also that
it has become apparent that leading tools like Claude heavily rely on tools like
grep to do pattern searches. One can imagine how much more effective this
can be by switching to more advanced search tools like Cobra.
A recent quote from the author of Claude Code:
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"Claude Code's agentic search is really just glob and grep, and it outperformed RAG.
The team tried several approaches to make agentic search better: local vector
databases, recursive model-based indexing, and other fancy approaches. All had
downsides (stale indexes, permission complexity). Plain glob and grep,
driven by the model, beat everything."
Boris Cherny, author of Claude Code.
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