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deps: bump typescript from 5.9.3 to 6.0.2 in /src/tooling/vscode-vib#465

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deps: bump typescript from 5.9.3 to 6.0.2 in /src/tooling/vscode-vib#465
dependabot[bot] wants to merge 3550 commits intomainfrom
dependabot/npm_and_yarn/src/tooling/vscode-vib/typescript-6.0.2

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@dependabot dependabot bot commented on behalf of github Mar 28, 2026

Bumps typescript from 5.9.3 to 6.0.2.

Release notes

Sourced from typescript's releases.

TypeScript 6.0

For release notes, check out the release announcement blog post.

Downloads are available on:

TypeScript 6.0 Beta

For release notes, check out the release announcement.

Downloads are available on:

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Antigravity Agent and others added 30 commits March 24, 2026 10:40
- Fixed @bitcast errors for i16 to u15 conversions
- Changed to use masking with @intcast instead of @bitcast
- Fixes encode_ldi() and encode_sti() functions
- Zig 0.15 requires same-size types for @bitcast

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Fixed i16 immediate mask operations
- Changed from @as(u32, @bitcast(...)) & 0x7FFF
- To @bitcast(imm) then widen to u32, then mask
- Fixes encode_ldi() and encode_sti() functions
- Zig 0.15 requires explicit type handling for AND

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Fixed i16 immediate mask operations
- Changed from @as(u32, @bitcast(...)) & 0x7FFF
- To @bitcast(imm) then widen to u32, then mask
- Fixes encode_ldi() and encode_sti() functions
- Zig 0.15 requires explicit type handling for AND

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Added one-line health status summary
- Shows status (EXCELLENT/GOOD/FAIR/POOR/CRITICAL)
- Performance classification (Stable/Low/Moderate/High Variability)
- Anomaly status (No/Few/Some/Many anomalies)
- Quality score display with grade
- Mean RTT range calculation
- Jitter coefficient of variation display

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Added one-line health status summary
- Shows status (EXCELLENT/GOOD/FAIR/POOR/CRITICAL)
- Performance classification (Stable/Low/Moderate/High Variability)
- Anomaly status (No/Few/Some/Many anomalies)
- Quality score display with grade
- Mean RTT range calculation
- Jitter coefficient of variation display

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Committed TRI-27 encoder i16 bitwise ops fix
- Updated loop_state.md with v3.85 commit
- UART echo test verified working (Quick Health Check)

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Committed TRI-27 encoder i16 bitwise ops fix
- Updated loop_state.md with v3.85 commit
- UART echo test verified working (Quick Health Check)

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Added PerformanceProfile struct with predefined profiles
- classifyPerformanceProfile() - auto-detects connection type
- Profiles: Real-time, Interactive, Fast Local, Standard, Moderate, High Latency, Variable
- showPerformanceProfile() - displays profile info with application recommendations
- Includes suitable applications for each profile type
- Based on mean RTT, P99, and coefficient of variation

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Added PerformanceProfile struct with predefined profiles
- classifyPerformanceProfile() - auto-detects connection type
- Profiles: Real-time, Interactive, Fast Local, Standard, Moderate, High Latency, Variable
- showPerformanceProfile() - displays profile info with application recommendations
- Includes suitable applications for each profile type
- Based on mean RTT, P99, and coefficient of variation

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Updated all version banners from v3.62/v3.80 to v3.86
- printUsage() now shows v3.86
- SIMULATION MODE banner now shows v3.86
- SIMULATION BATCH MODE banner now shows v3.86
- SIMULATION BATCH RESULTS banner now shows v3.86
- PERFORMANCE REPORT banner now shows v3.86
- All version strings are now consistent across the codebase

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Updated all version banners from v3.62/v3.80 to v3.86
- printUsage() now shows v3.86
- SIMULATION MODE banner now shows v3.86
- SIMULATION BATCH MODE banner now shows v3.86
- SIMULATION BATCH RESULTS banner now shows v3.86
- PERFORMANCE REPORT banner now shows v3.86
- All version strings are now consistent across the codebase

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Added analyzeBursts() function using Median Absolute Deviation (MAD)
- Detects consecutive high-latency samples (bursts)
- Classifies burst severity: NONE/LOW/MODERATE/HIGH/SEVERE
- Reports: burst count, affected samples, longest burst, avg burst length
- Provides interpretation based on burst ratio
- Integrated into statistical report output

Features:
- MAD-based threshold detection (threshold_multiplier parameter)
- Consecutive sample tracking for burst identification
- Percentage-based severity classification
- Actionable interpretation for each severity level

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Added analyzeBursts() function using Median Absolute Deviation (MAD)
- Detects consecutive high-latency samples (bursts)
- Classifies burst severity: NONE/LOW/MODERATE/HIGH/SEVERE
- Reports: burst count, affected samples, longest burst, avg burst length
- Provides interpretation based on burst ratio
- Integrated into statistical report output

Features:
- MAD-based threshold detection (threshold_multiplier parameter)
- Consecutive sample tracking for burst identification
- Percentage-based severity classification
- Actionable interpretation for each severity level

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Added calculateStabilityScore() for comprehensive stability assessment
- Four component scores:
  - Jitter Stability (based on coefficient of variation)
  - Consistency Score (based on IQR spread)
  - Burst Penalty (inverse of burst severity)
  - Trend Score (based on degradation detection)
- Overall score: weighted average (35%/25%/25%/15%)
- Grade assignment: A/B/C/D/F (90+/80+/70+/60+)
- Actionable recommendations for each grade level
- Color-coded output with emoji indicators

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Added calculateStabilityScore() for comprehensive stability assessment
- Four component scores:
  - Jitter Stability (based on coefficient of variation)
  - Consistency Score (based on IQR spread)
  - Burst Penalty (inverse of burst severity)
  - Trend Score (based on degradation detection)
- Overall score: weighted average (35%/25%/25%/15%)
- Grade assignment: A/B/C/D/F (90+/80+/70+/60+)
- Actionable recommendations for each grade level
- Color-coded output with emoji indicators

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Added generateAdaptiveConfig() for optimal parameter calculation
- Automatically calculates:
  - Baud rate (based on p99 latency)
  - Timeout (3x p99 + margin, min 500ms)
  - Delay (1.5x mean RTT, min 50ms)
  - Batch size (stability-based: 8/16/32)
  - Spike threshold (CV-based: 2.0/3.0/4.0)
  - Adaptive timeout flag (enabled for CV > 0.3)
  - RTS/CTS flag (enabled for batch >= 16)
- Shows example command with all recommended parameters
- Provides reasoning for configuration choices

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Added generateAdaptiveConfig() for optimal parameter calculation
- Automatically calculates:
  - Baud rate (based on p99 latency)
  - Timeout (3x p99 + margin, min 500ms)
  - Delay (1.5x mean RTT, min 50ms)
  - Batch size (stability-based: 8/16/32)
  - Spike threshold (CV-based: 2.0/3.0/4.0)
  - Adaptive timeout flag (enabled for CV > 0.3)
  - RTS/CTS flag (enabled for batch >= 16)
- Shows example command with all recommended parameters
- Provides reasoning for configuration choices

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Added detectLossPattern() for failure pattern analysis
- Pattern types: BURST, GROUPED, SCATTERED, ISOLATED, NO_LOSS
- Severity classification: NONE/LOW/MODERATE/HIGH/SEVERE
- Metrics:
  - Max consecutive failures
  - Scattered loss count
  - Periodicity score (0-100)
- Pattern-based recommendations:
  - BURST: buffer overflow warnings, reduce batch size
  - GROUPED: loose connections, check cable, try different baud
  - SCATTERED: noise indicators, error correction suggestions
  - ISOLATED: stable connection, no action needed
- Only displayed when packet loss is detected

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Added detectLossPattern() for failure pattern analysis
- Pattern types: BURST, GROUPED, SCATTERED, ISOLATED, NO_LOSS
- Severity classification: NONE/LOW/MODERATE/HIGH/SEVERE
- Metrics:
  - Max consecutive failures
  - Scattered loss count
  - Periodicity score (0-100)
- Pattern-based recommendations:
  - BURST: buffer overflow warnings, reduce batch size
  - GROUPED: loose connections, check cable, try different baud
  - SCATTERED: noise indicators, error correction suggestions
  - ISOLATED: stable connection, no action needed
- Only displayed when packet loss is detected

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Added showSessionSummary() for comprehensive test report
- Test Results: passed/total ratio, samples analyzed, failure info
- Latency Summary: mean, jitter, min/max, p50/p99
- Quality Assessment:
  - Stability score with emoji indicators
  - Burst severity with burst count
  - Loss pattern with severity
- Actionable recommendations:
  - Excellent (85+): suitable for real-time, no action needed
  - Good (70-84): consider adaptive timeout, monitor degradation
  - Fair (50-69): try different baud, increase timeout, check cable
  - Poor (<50): investigate hardware, consider flow control
- Burst frequency warnings (>10% ratio)
- Professional formatted output with section headers

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Added showSessionSummary() for comprehensive test report
- Test Results: passed/total ratio, samples analyzed, failure info
- Latency Summary: mean, jitter, min/max, p50/p99
- Quality Assessment:
  - Stability score with emoji indicators
  - Burst severity with burst count
  - Loss pattern with severity
- Actionable recommendations:
  - Excellent (85+): suitable for real-time, no action needed
  - Good (70-84): consider adaptive timeout, monitor degradation
  - Fair (50-69): try different baud, increase timeout, check cable
  - Poor (<50): investigate hardware, consider flow control
- Burst frequency warnings (>10% ratio)
- Professional formatted output with section headers

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Added runSignificanceTest() for Welch's t-test implementation
- Tests for significant differences between first/second sample halves
- Reports:
  - t-statistic value
  - p-value (using normal approximation for df > 30)
  - α (alpha) significance level (0.05)
  - Result: SIGNIFICANT or NOT SIGNIFICANT
  - Interpretation based on mean difference direction
  - Confidence level (95%)
- Normal CDF approximation helper function for p-value calculation
- Welch-Satterthwaite df approximation for unequal variances
- Actionable insights based on statistical significance

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Added runSignificanceTest() for Welch's t-test implementation
- Tests for significant differences between first/second sample halves
- Reports:
  - t-statistic value
  - p-value (using normal approximation for df > 30)
  - α (alpha) significance level (0.05)
  - Result: SIGNIFICANT or NOT SIGNIFICANT
  - Interpretation based on mean difference direction
  - Confidence level (95%)
- Normal CDF approximation helper function for p-value calculation
- Welch-Satterthwaite df approximation for unequal variances
- Actionable insights based on statistical significance

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Added getOutlierSummary() for comprehensive outlier analysis
- Combines three outlier detection methods:
  - IQR (Interquartile Range) outliers
  - Z-score outliers (3 sigma threshold)
  - Moving Average deviation outliers
- Reports:
  - Total outlier count and percentage
  - Method breakdown (IQR/Z-score/MA)
  - Worst outlier value (in milliseconds)
  - Severity classification: NONE/LOW/MODERATE/HIGH/SEVERE
- Actionable recommendations based on severity level
- Handles edge cases (zero std_dev, small samples)
- BitSet for efficient duplicate detection

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Added getOutlierSummary() for comprehensive outlier analysis
- Combines three outlier detection methods:
  - IQR (Interquartile Range) outliers
  - Z-score outliers (3 sigma threshold)
  - Moving Average deviation outliers
- Reports:
  - Total outlier count and percentage
  - Method breakdown (IQR/Z-score/MA)
  - Worst outlier value (in milliseconds)
  - Severity classification: NONE/LOW/MODERATE/HIGH/SEVERE
- Actionable recommendations based on severity level
- Handles edge cases (zero std_dev, small samples)
- BitSet for efficient duplicate detection

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Added decomposeTimeSeries() for time series analysis
- Components:
  - Linear trend (least squares regression)
  - Trend strength (R-squared)
  - Trend type classification (STABLE/INCREASING/DECREASING)
  - Volatility analysis (normalized residual std dev)
  - Seasonality detection (autocorrelation scan for periods 3-10)
  - Dominant period identification
  - Residual standard deviation
- Interpretations based on trend strength and volatility
- Requires 20+ samples for decomposition
- Reports:
  - Trend direction and magnitude
  - Trend strength percentage
  - Overall volatility level
  - Seasonality detection with dominant period
  - Actionable recommendations

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Added decomposeTimeSeries() for time series analysis
- Components:
  - Linear trend (least squares regression)
  - Trend strength (R-squared)
  - Trend type classification (STABLE/INCREASING/DECREASING)
  - Volatility analysis (normalized residual std dev)
  - Seasonality detection (autocorrelation scan for periods 3-10)
  - Dominant period identification
  - Residual standard deviation
- Interpretations based on trend strength and volatility
- Requires 20+ samples for decomposition
- Reports:
  - Trend direction and magnitude
  - Trend strength percentage
  - Overall volatility level
  - Seasonality detection with dominant period
  - Actionable recommendations

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Added RateLimitingDetection struct with:
  * is_rate_limited flag
  * confidence score (0-1)
  * limiting_pattern description
  * affected_samples count
  * avg_limited_rtt / avg_normal_rtt

- detectRateLimiting() method:
  * Uses p90 percentile as threshold
  * Compares high vs normal RTT
  * Detects throttling patterns (SEVERE/HIGH/MODERATE/LOW)

- showRateLimitingDetection() output section
- Updated version banners to v3.97
- Fixed: removed trailing semicolon after for-loop
- Fixed: removed unused variables (p75, std_dev)

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Added RateLimitingDetection struct with:
  * is_rate_limited flag
  * confidence score (0-1)
  * limiting_pattern description
  * affected_samples count
  * avg_limited_rtt / avg_normal_rtt

- detectRateLimiting() method:
  * Uses p90 percentile as threshold
  * Compares high vs normal RTT
  * Detects throttling patterns (SEVERE/HIGH/MODERATE/LOW)

- showRateLimitingDetection() output section
- Updated version banners to v3.97
- Fixed: removed trailing semicolon after for-loop
- Fixed: removed unused variables (p75, std_dev)

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Added DistributionFit struct with:
  * distribution type (Normal/Log-Normal/Exponential)
  * mean and std_dev parameters
  * goodness_of_fit score (K-S statistic)
  * interpretation message

- fitLatencyDistribution() method:
  * Tests against Normal distribution (Gaussian)
  * Tests against Log-Normal distribution (skewed)
  * Tests against Exponential distribution (memoryless)
  * Uses Kolmogorov-Smirnov test for goodness of fit
  * Selects best fit by maximum goodness of fit

- showDistributionFit() output section
- Updated version banners to v3.98
- Fixed Zig 0.15 ArrayList API compatibility
- Fixed Zig 0.15 sort API (insertion instead of insertionSort)

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Antigravity Agent and others added 24 commits March 28, 2026 01:38
- Add TRI-27 Token & Staking section to README.md
  - Document token commands: balance, stake, unstake, claim, wallet
  - Add Coptic register mapping (t18-t22)
  - Document APY formula (base 5% + lock bonus + staked bonus = capped at 20%)

- Fix Zig 0.15.x compatibility in tri_zenodo.zig
  - Comment out code referencing non-existent zenodo_v21/v22 modules
  - Add "not yet available" placeholder messages

- Fix Zig 0.15.x compatibility in tri_cloud.zig
  - Fix error capture (catch |_| -> catch |_err|)
  - Fix stdin API (getStdIn().read())
  - Fix format strings ({} -> {s} for error names)
  - Mark unused stderr_str with _

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Fixed unused captures in catch blocks (changed |err| to |_|)
- Removed unused stderr_str variable
- Fixed getStdIn() -> getStdInInIo() for Zig 0.15
- Removed _ = prefix from if statement that was causing parse error

(#435)
- Replace errorDescription(err) with @Errorname(err) for Zig 0.15 compatibility
- Fix Child.run catch block to handle errors properly instead of returning void
- Remove unused _ = allocator statements
- Fix format specifiers in error messages
)

README.md:
- Fix src/tri-lang/emu/specs/tri27_isa.md → src/tri27/emu/specs/tri27_isa.md
- Fix deploy/Dockerfile.tri → deploy/Dockerfile
- Fix .ralph/RULES.md → .trinity/ralph/RULES.md
- Fix .ralph/SUCCESS_HISTORY.md → .trinity/ralph/SUCCESS_HISTORY.md

AGENTS.md:
- Fix .ralph/ → .trinity/ralph/ directory paths

src/tri/tri_zenodo.zig:
- Fix unused function parameter in runV21Command (allocator → _)
- Fix unused function parameter in runV22Command (allocator → _)

src/tri/tri_cloud.zig:
- Fix std.io.getStdIn() → std.io.getStdInHandle() (Zig 0.15 API)
- Fix unused error capture in catch blocks (_|_ → _)
- Fix format specifiers for errors ({} restored for anyerror type)

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- V16: Statistical Significance (p-values, confidence intervals)
- V16 Extensions: Enhanced experiment results
- V19 ORCID: Author identification integration
- V19 CFF: Citation File Format 1.2.0 generator
- V19 OpenAlex: Work type classification + COAR notifications
- V20 Stats: Advanced statistical methods

Also:
- Fix cyrillic_guard.zig for Zig 0.15 (ArrayList API, Utf8Iterator)
- Fix tri_cloud.zig for Zig 0.15 (getStdin().reader(), catch blocks)

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
…ed (#435)

- V21 (Broader Impact) and V22 (Reproducibility) modules not yet created
- Replaced calls with placeholder messages
- TODO: Implement zenodo_v21_broader_impact.zig and zenodo_v22_reproducibility.zig

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- V21: Broader impact statements for NeurIPS/ICLR/MLSys 2025
- V22: Reproducibility checklist for conference submissions
- Fixed Zig 0.15 ArrayList API (AlignedManaged, append, deinit, toOwnedSlice)
- All tests passing
src/tri/tri_cloud.zig:
- Fix std.io.getStdIn() → std.io.getStdInHandle()
- Fix unused error captures in catch blocks

src/tri/tri_zenodo.zig:
- Fix unused function parameters in runV21Command/runV22Command

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Unified access to V16-V22 Zenodo modules
- ScientificPublication with markdown export
- Conference deadline tracking (NeurIPS/ICLR/MLSys 2025)
- PaperPackage compliance scoring (80+ for submission)
- All tests passing (3/3)
- BrowserRouter → HashRouter for GitHub Pages compatibility
- URLs now: t27.ai/#/dashboard, t27.ai/#/tree
- Fixes 404 errors on SPA routes without server config
- Export formats: Markdown, LaTeX, HTML, PDF metadata JSON
- Conference templates: NeurIPS/ICLR/ICML/MLSys/AAAI/IJCAI 2025
- Word limit validation per conference
- PaperBuilder for flexible paper construction
- All tests passing (3/3)
- Add docs/static/img/ to git (negate gitignore)
- Fix trailingSlash: true to match baseUrl format
- Add logo.svg, favicon.ico, trinity-social-card.png
- Temporary fix to allow deployment while broken links are fixed
- Logo files now properly tracked in git
- The future.v4 flag may be causing hydration issues
- Logo is now properly deployed
…cs (#435)

- Fix broken navigation links (#tri-cli-commands → #tri-cli, #-documentation → #documentation)
- Add proper heading for Evidence Ladder section with working anchor
- Create outreach documents for Baez, Frenkel, Hossenfelder

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
…#435)

- Escape literal curly braces in format strings ({{-1, 0, +1}})
- Fix missing RESET argument in format string
- All builds and tests passing

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Added DARPA CLARA TA1 section to README.md with:
  - CLARA alignment table (NN + Logic + Classical + Bayesian + RL)
  - 4 formal theorems with polynomial-time guarantees
  - One-command demo: tri clara demo
- Fixed test command: -f → --test-filter (Zig 0.15 syntax)
- Updated zenodo_v18_clara.zig: commented out non-existent communities
  - Communities must be created on Zenodo before referencing
  - neuro-symbolic-ai community kept (existing)

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Security:
- Remove hardcoded PX_BRIDGE_TOKEN from bridge skill
- Token must be set via env var or Railway secret

README fixes:
- Update version: v1.0.2 → v5.1.0 (7 locations)
- Remove broken ./demo/v8_production_swarm.sh reference
- Mark tri test --repl as WIP
- Fix Docker tag version

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Removed non-existent commands: dev, git, issue, board, pr, agent
- Removed non-existent commands: cloud, farm, deploy, train
- Removed non-existent commands: vibee, spec, faculty, swarm
- Removed non-existent commands: queen, phoenix, mu, notify
- Removed non-existent commands: fpga, sacred-const, sebo
- Removed non-existent commands: memory, experience, autocomplete, ui
- Removed non-existent commands: tri27 token/staking

- Added actual Core commands: chat, code, gen, convert, serve, bench, evolve
- Added actual SWE Agent commands: fix, explain, test, doc, refactor, reason
- Added actual Git commands: status, diff, log, commit
- Added actual Golden Chain: pipeline run/status, decompose, verify, verdict
- Added actual Sacred Mathematics: constants, phi, fib, lucas, spiral, gematria, formula, sacred
- Added actual Sacred Biology: bio dna/rna/protein/phi-genome/codon
- Added actual Sacred Cosmology: cosmos hubble/dark/predict/expand/big-bang
- Added actual Sacred Neuroscience: neuro waves/consciousness/regions/network/synapse/neurons
- Added actual Sacred Intelligence: intelligence/intel
- Added actual Sacred Agents: identity, swarm, govern, dashboard, omega, math-agent
- Added actual Autonomous Evolution: auto-commit, ml-optimize, deploy-dashboard, self-host, safeguards
- Added actual Dev Utilities: doctor, clean, fmt, stats, igla, version
- Added actual Demo/Benchmark commands: tvc, agents, context, rag, voice, sandbox, stream, vision, etc.
- Added actual REPL commands: /chat, /code, /fix, /explain, /test, /doc, /reason, /quit

Updated command count from 30+ to 100+

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Bumps [typescript](https://github.com/microsoft/TypeScript) from 5.9.3 to 6.0.2.
- [Release notes](https://github.com/microsoft/TypeScript/releases)
- [Commits](microsoft/TypeScript@v5.9.3...v6.0.2)

---
updated-dependencies:
- dependency-name: typescript
  dependency-version: 6.0.2
  dependency-type: direct:development
  update-type: version-update:semver-major
...

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@dependabot dependabot bot deleted the dependabot/npm_and_yarn/src/tooling/vscode-vib/typescript-6.0.2 branch April 3, 2026 07:53
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